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Adilas.biz Developer's Notebook Report - All to All - (53)
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Adilas Glossary | 3/25/2026 |
The other part of the adilas glossary (A-J) is on element of time # 4030 in the adilas university site. Web link - time_web_gallery.cfm?corp=371&id=4030 K
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Adilas key Contributors | 3/17/2026 |
Adilas Key Contributors:
Steve Berkenkotter - Main owner and business partner - original ideas, concepts, and training - sales, relationships, dreamer, visionary, custom code, coordinator, builder of the first industry specific skin, and the list goes on. Huge player in the adilas story and timeline. One of the original owners in Moring Star Automotive - where the system came from. There are three known Steve's in the system notes. Most of them are this Steve (99 out of 100 times). He won't admit it, but adilas was his brainchild.
David Berkenkotter - Steve's brother and business partner in Morning Star Automotive. David was a system user and helped us create the adilas quick search. He liked using that feature, the quick search, but it only existed on one page originally. He wanted us to put it on every page. That ended up being in the header. He was also one of the original partners in adilas. Power user in the system. Sadly, he passed away due to cancer.
Shari Olin - Commonly known as "Shari O.". She worked in the accounting department back in the Morning Star days. She has been somewhat of a mother hen to help all of us crazy chickens keep going. She helps with customer support, training, payroll, bill collection, and tons of backend office functions. Major power user. Just being silly, but she can have the mouth of a sailor but the heart of an angel. Part of the adilas admin team and a great friend.
Craig Leitner - Also part of the original Morning Star team. Craig was the automotive floorplan and bank guy. He is a power user in the system and does a lot of bank reconciliation and other tasks. He currently works with Steve and asks as the adilas controller (money flow guy).
Cory Warden - Originally an adilas rep and consultant. Cory become part of the team after being a rep for quite some time. She helps with customer care, client support, project management, and keeping the team on track. She also does all of the news and updates and other training material. Cory does tons of oversight type services for our clients. Power user and part of the admin team.
Sean Carlton - Sean was a manager at a Cannabis dispensary in Colorado that used adilas for years and years until they sold. Steve recruited Sean to help with sales, deployment, and training. Sean brings lots of usage experience. Often, he is one of the helpers if we need to send someone onsite to help with a deployment or training session. Power user.
Brandon Moore - I'm one of the guys that writes most of the developer's notebook entries. Originally, I was hired by Morning Star, the automotive dealership, to help with data entry, accounting, and website stuff. I ended up being one of the main adilas developers and architects. I build content, write code, help other developers and team members, and help with training. Helped start the project back in 2001 under the Morning Star name.
Chris Dunsey - One of the first adilas interns (developers). Helped with a number of projects. Ended up being somewhat of a consultant later on.
Shawn Curtis - Kinda a funny story. He was taking a developer's class at Bridgerland. He knew my brother Russell. He asked to join our developer class and became one of the first interns along with Chris Dunsey. Shawn ended up helping with payroll and other projects. Some of the photo galleries in the system came from Shawn's help. He also worked on the media/content (file upload) pieces. Later on, he did more payroll work and acted as a buddy to Brandon and did some consulting work. We worked together for years and years.
Russell Moore - Russell is my younger brother. Originally, he was added to the group because of his graphic skills. He ended up being a great backend developer and project manager. He has also acted as a trainer and mentor for Brandon along the way. Much of the current system came from projects and efforts that Russell was involved with. He has also been Brandon's AI tutor in recent years. Great help to the system. Huge contribution.
Chris Johnnie - He is an entrepreneur who teamed up with Russell to help create a company called "Adilas For Business" or "AFB". Eventually, both Russell and Chris sold their pieces back to adilas. They were honestly the first ones to really try to run as a white label of adilas. This was back in 2015 and 2016. Chris really helped to push the product to the next level along with Russell's help.
Danny Shuford - Longtime friend of Steve's. Danny helped with some website design, sales, and videos for adilas. He even got into creating custom PDF labels for clients. Light development work.
Marisa Shaw - She is Danny's daughter. Danny brought her to an adilas training event in Denver, CO. Marisa was the star student. She ended up helping with some graphics, flyers, marketing material, teaching, instruction, and planning. Power user. Very helpful.
Shannon Scoffield - Shannon is Brandon and Russell's sister. Her maiden name is Shannon Moore. Huge help and virtual assistant to Brandon. She has helped with training, project management, and content creation. Most of the major content sessions were or have been with Brandon and Shannon working together. When they, Brandon and Shannon, were traveling, Shannon was one of the primary adilas instructors. If she was teaching Brandon was taking notes. If Brandon was teaching, Shannon was taking notes. Power user.
Cheryl Moore - Cheryl is my mom. What an asset. She owns a small business and has owed a few different ones. When we were doing training sessions, she came to every one of them. She asked wonderful questions and was a great supporter. Sometime, I would use her as a test subject - can my mom do this? If yes, we are good. If not, we may need to keep tweaking it. Thanks mom!
Wayne Moore - Wayne is my dad. He was my hiking buddy and more than willing to talk about ideas and concepts on our walks and hikes. He helped out with video stuff and was a great coordinator for making other connections. He worked at Bridgerland (technical college) and helped us get setup with classrooms, computer labs, and other great connections. Huge cheerleader! There is another Wayne, Wayne Andersen, he is a backend developer, systems guy, and database guy.
Wayne Andersen - This Wayne lives in Portugal and helps with all of the backend security, server, and code testing. Major skills, writes code, helps push all of us to new technologies, partially retired but loves to play with tech stuff. If you search for Wayne and it deals with concepts and coordination stuff, that's my dad, Wayne Moore. If you search for Wayne and it sounds like a master backend guy, that's Wayne Andersen.
Alan Williams - One of the lead developer's at adilas.biz. Alan joined us in 2015 and quickly came up through the ranks. Trainer, CTO, team lead, master developer, prototyper, and system architect. Alan has helped with many projects and features over the years. He also helped Brandon with some of the prep work for the adilas lite (fracture) plans and project. Sometimes called "Dr. Alan" by the other developers. Example: This might be a project for Dr. Alan.
Bryan Dayton - Bryan has been one of the most versatile guys on our team. Originally, he joined a development class out of curiosity. He and Brandon live in the same town and know each other from church. Bryan has done more custom code or small system projects than almost any other developer. He also joined the team in 2015. He helps with sales, custom projects, pushing on projects that he thinks will yield a return. Lots of work on the adilas lite and fracture project. Very hard working and versatile.
Dustin Siegel - Developer who helped with numerous cannabis and cultivation type projects. He worked directly under Steve to help with that business vertical. Many of the original pages that Steve built were taken over and remade by Dustin.
Eric Tauer - Developer and custom code guy. Originally, Eric knew Steve and lived in Salida, CO. As a note, adilas is Salida spelled backwards. Eric has a background in database work and data warehousing. Eric has done tons of custom systems for clients. Often, Eric would pioneer certain features or logic, as custom code, and then we would bring those features into the main adilas application.
Garrett Kirschbaum - Adilas intern and then full developer back in 2015. Stressful time of building and expansion. He and others helped run the adilas shop with Brandon's help. Garrett was a great developer and helped us standardize a number of tools and features. He was the first developer to work on sub inventory, back in the day. He also did other projects and helped with some developer management stuff.
Charles or "Chuck" Swann - Charles was an instructor at Bridgerland for web development. He builds custom websites, does amazing mock-ups, prototypes, and is a CSS master (styling a website using code). Chuck worked with Russell to help with redesign work, projects, and vision. Chuck worked fulltime for a number of years and now works and coordinates work done by a small hand-picked design and development team. Anything that needs some design loving gets passed over the Chuck and his small team.
Steve McNew - Friend of Steve Berkenkotter's. This Steve helped prep some whitepaper documents to help with getting adilas standardized and some internal audit type stuff. Mostly white papers and putting things down on paper. He ended up getting hired by the local school district and wasn't able to finish the process, but he got it started. He asked some great questions, and we had some good conversations.
Abby Elkins - Abby is Brandon's daughter. Her maiden name was Abby Moore. Abby, when she was little (10-12 years old) helped with some of the original concept artwork for adilas. Later on, she helped with content for the presentation gallery and then the adilas lite plans (fracture). Currently, she is working graphic artwork for different adilas pages. She's now in her mid 20's and has some awesome art and content skills.
Aspen Moore - Aspen is Abby's younger sister and Brandon's daughter. Aspen helped Brandon with some planning and counseling (mental help). Aspen also did some general business consulting with her dad Brandon.
John Maestas - Developer, backend server guys, and designer. John came to us through Dustin. John was uses as a jack of all trades on the backend and frontend. He did numerous projects, documentation, payroll, and page redesign projects. John was also very help to Brandon in working on the notes and comments on the SWOT analysis document. Many other projects as well. Good vision of the future.
Kiva Berkenkotter - Steve's wife. She helped Steve with various projects and planning sessions. At one point, she was in charge of paying commissions and collecting monthly reoccurring payments. Huge supporter to Steve!
Heather Moore - Heather is Brandon's wife. What a trooper. Cheerleader, support, ideas, and consulting. Huge asset to Brandon (me). Thanks Heather!
Jonathan Wells - Designer and mock-up guy. He helped to map out the system and created a number of deep mock-ups for adilas lite (fracture) projects. Great job catching the vision and putting those pieces into a visual representation. We still refer to his work when talking about fracture (future project for adilas).
Jonathan Johnson - Business consultant from Epic Enterprises. Met with Brandon and Steve in end of 2019 into 2020. Really helped us see some needs and opportunities. Later, helped Brandon with some other consulting when trying to define the fracture plan.
Calvin Chipman - Windows software developer. Calvin also did a bunch of web-based work, database stuff, label printing, and API socket stuff. Calvin was the first developer to use the adilas API's to create a native mobile app for a client. He also built a number of special developer tools used by some of our team to speed things up. He's the tool guy!
Cody Apedaile - Bryan Dayton's cousin, Cody helped with a bunch of JavaScript code and changes. He also spent some time working on the UML diagram for the adilas database. We didn't get things finished, but he was working on a new build your own interface (custom to you) for adilas. We ran out of funding. We want to get back to that project at some point.
Dave Forbis - Dave was the official "high tech gofer". He did a bunch of things. Graphics, project management, brainstorming, planning, sales, and helped with managing developers for the adilas shop. He was another great student. He came to a number of training courses and brought so much to the courses. He was also a big support to Brandon during some rough times.
Josh - There are three Josh's. Josh Wheeler, Brandon's friend and developer. Josh Sagert, developer and adilas user (worked tons on the discount engine), and Josh White, Steve's friend from California. Josh White has brought us a number of bigger leads and bigger players, like franchises, and other higher-end clients. Anything recent is Josh White, from California. He helps with networking, sales, and dreaming of new things.
Suzi Distelberg - Sales, training, and deployment. She also worked with some custom projects and doing step-by-step user guides. She has helped with all kinds of projects and even gone onsite for setups and training. Great asset!
Kelly Whyman - Kelly is Dustin's wife. Kelly was single handedly the best independent sales rep that adilas had. She did training, consulting, and sponsored a number of custom projects. Kelly helped Steve and Brandon with reports, functionality, and other things. She got so good at things, state contracts snagged her up to work at state and multi-state level stuff.
Molly Hennessy - Molly was another independent sales rep and consultant. She had numerous clients and got into doing SOP's (standard operating procedures) and other high-end documentation and training. Molly was an entrepreneur and even started creating some of her own product and services. If you search adilas on google, some of the other results are from Molly. Super creative and a great consultant.
Hamid Karbasi - Developer - He has worked with Brandon doing small websites, training, and small tasks. He currently is a manager at a retail store and brings some managerial type skills to the table. Willing to talk about concepts and how they apply to retail and other environments. He is also lightly helping with some planning for fracture.
Gene Spaulding - Friend, entrepreneur, and businessman. Gene is an old college friend. We had a number of friends in common. He has been a small mentor to me over the years. Way back, before adilas, he helped me get my first business loan for a project that I was working on.
Sharik Peck - Friend, entrepreneur, public speaker, physical therapist, and businessman. Good influence and mentor in ways. Sharik and I used to exercise together back in the day. Many of fun walk, run, and weightlifting session. Learning some conference and training skills from him and his wife. They have done really well pushing their product lines and doing some marketing. Trying to get some ideas.
Bridgerland Technical College - Use to be Bridgerland Applied Technology College. Not a person, but a huge help. This is a local technical college in the Logan, UT, area. Brandon's dad, Wayne, worked there. Tons of assets. They provided classrooms, training options, computers, and even an small incubation spot (starter office space) for the adilas shop during the startup phase. Huge asset!
McCorvey's Pro Shop - Also known as Bowling World. Client that had multiple locations. The started out with around 30 and grew up to the 90+ location level, all using adilas. Long time client.
Emerald Fields - They were the first client that wanted their own fully dedicated box and server. They had multiple locations and requested some custom code, reports, and features.
Beaver Mountain Ski School - Client that we helped them track their ski school (snow sport) lessons. Students, instructors, classes, and schedules. Custom interface dealing with elements of time and flex grid.
Bear 100 - This was the first event or annual event client that we did. They used the system for about a week each year. They had 350+ runners and their families that would be on the site for multiple days straight. It was a 100 mile running race with 13 aid stations and a small social portal for the family and friends to watch their runners. This one was special as it had custom input options to upload CSV files to populate the database vs normal HTML form field entries. Records were sent in batches from remote places to adilas for storage and race progress.
High Valley Bike Shuttle - Online ecommerce and scheduling client. They also have a cafe and small retail store. Fun online scheduling and bulk flex grid projects.
Herbo - Mike Roundtree, owner of Herbo, was the first company to do a small white label of adilas. Mike has been a great asset to Steve and the two of them have worked on projects, plans, and dreams. Herbo also has a custom payment solution that they are trying to market and get rolling. Mike has been a great supporter for years. He is also a certified CPA and that credential helps us and him. We would like to get other CPA's on board as well. Thanks Mike!
Nxtlinq AI - AI assistant. These guys really pushed us to get an AI agent inside of adilas. Tons of development took place and lots of prep stuff. We wanted to do a 3-part plan for integrating AI. 1. Teach it how to navigate using the AI quick search (check - done), 2. Teach it all things adilas. and 3. Teach it how to be clear up at the consultant type level. We only got the first phase done. Lots of other plans and such, but we ran out of funding.
Grok AI - Steve loves using Grok. He has built a number of image generation options inside of adilas. He is also working with Grok to feed it data to help with analytics and AI insight. This is not finished yet, but we may end up using Grok as an AI assistant inside of adilas. We have simple and emerging connections available right now but need to really polish things up before going live with the AI assistant options.
ChatGPT AI - We have started using ChatGPT to help with code, explanations, explore resources, planning, and help with training and flow for people and other AI bots. Currently, Brandon, Steve, Bryan, Alan, Josh, Russell, Chuck, and Wayne are using AI in either ChatGPT chat sessions or some other form of AI. We have some using Copilot, Gemini, Claude, etc. AI is actually helping in many ways. ChatGPT is a big one for use. Anyways, they are earning their place in the adilas key contributors list.
There are so many more that I can't list. Developers, users, power users, reps, consultants, trainers, clients, accountants, friends, family, and even critics. They have all helped out the idea farming process and progression. Good stuff! We couldn't have done this alone. It takes a community to do what we are doing. |
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| Shop 12600 |
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Small Work Session With Alan | 1/8/2026 |
Meeting with Alan. Going over existing AI trends. Talking about our existing model. We logged into the Nxtlinq backend dashboard and looked around (current adilas AI agent backend). Lots of chats and what not, going back and forth about ideas and options. Alan was saying that he has been looking up what customers really want from an AI compliant ERP system. We chatted about that. We then did a small session showing what we are doing and how we are using different AI pieces and projects. I got into VS Code and showed Alan around a bit. We jumped into ChatGPT and looked at how it is helping as well. We chatted about some new ideas and where to help take things, going forward. We also setup a time to meet next week. |
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Meeting with the Nxtlinq guys | 1/6/2026 |
Steve canceled the meeting for tonight. He wants me to finish up a couple of projects that have been hanging out. They did send a small update via email. This is what I got from Thomas: We have updated Adi global context training with all the arsenals, including but not limited to increase context limit, RAG implementation that minimize up to 75% less token consumption, GPT5.2 update and more. Looking forward to Brandon getting back in adi training mode. |
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Meeting with the Nxtlinq guys | 12/16/2025 |
Meeting with the Nxtlinq guys. Going over frustrations with global context memory options... They will look at possible solutions. Ted was pitching some stuff... He wants us to focus on SOP's, ask our clients for their SOP's, flow charts, processes, documentation (good stuff), and helping to walk the system through the reasoning behind the decisions and the context. We love the idea, we just need the AI agent to be able to really store all of the stuff that we are throwing at it. It can remember stuff, but it is super tiny. Also, because it is so tiny, and we have such a big application, it will load things into the global context window (its small memory space) and we will ask it about something else. It then kicks out the old to make room for the new. It really needs to be stored in small chunks in a database and then be able to get to that information on the fly. That's where we are heading. Frustrating but it will work out, it will just take time. |
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Meeting with Steve | 12/16/2025 |
Meeting with Steve. We spent some time talking about the mini private AI agent. We logged into the Nxtlinq backend and were looking at their context window. Josh jumped on for a little bit. Steve and I were making plans and talking about things. Where do we want to go and how are we going to get there? We talked about some global context pieces and what we are hoping for. We would love the AI agent to help us with some videos, running comparisons, drawing (whiteboards what to do). Steve has a couple of other projects going on right now. We flipped over to them and went through them for a bit. We talked about three other projects and went over some questions that he has. One of the projects is that Steve had questions about using Grok AI as an AI agent. We talked about getting new session variables on the login, logout, change corp, 3rd party solutions, footers, and sdk's files or pages. Next, we flipped over to a small project that is dealing with ecommerce and part category settings. Currently, we have a setting that allows for a corporation or entity to select a sales mode. These are inventory level controls like show and sell parent inventory, show parents and sell subs, show sub and sell subs, etc. All of these are dealing with parent/child relationships within the inventory itself. Steve is working on a new setting that will allow that bigger master switch to be controlled on the part category level. Some categories tend more toward child or sub inventory than other ones. Anyways, he is working on changing out that master switch and making it more granular at the part/item category level. The last project that he is working on is saving a custom report from inside the system. The new report has both normal FORM scope params as well as dynamic, on the fly params. We went over some options and did some comparing of the FORM scope values. It goes something like this... We use a normal web-based form to pull the report. At that point, we have all of the FORM scope values or variables. If the user wants to save the report, we send all of the data over to a save report page that putts all of that information into a JSON object for database storage. We then take the new database id number and use it as a URL scope variable. Basically, run report X based on the settings stored by id number Y. It works pretty slick. We have done this for years and years. This particular one has some other random dynamics that are making it a little bit more difficult. We are not sure, but it seems to be a case sensitive problem with what is being created (dynamic FORM values) and what is being saved in JSON format. We didn't quite finish this, but were getting close. |
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AI training | 12/15/2025 |
Planning and doing some AI agent training for the adilas private model. See attached for a starting place or file for the Nxtlinq AI agent. This is what it was able to gather to date. I made a few changes... See also the chat log for the new training session. |
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Brainstorming and Planning Notes | 12/12/2025 |
Reinforce ---- Notes from a brainstorming and planning session (see attached) So, just for fun, I had ChatGPT convert my notes into text (OCR style). Here are my notes in a typed form. - Working on some planning to help with global context & AI/Human training - I've been gathering some post-it notes for about a week. The electricity is out so I went over to my in-laws house. I'm converting notes from my post-it notes into notes in this notebook. - 3 notes from 12/6/25: (see below) Teach the AI agent how to delete or make things inactive - We had some chat messages where a user asked & the AI agent didn't say the right things. We just need to help it out a bit. Coaching... Teach it how to get to stats & totals. The user asked some basic questions & the AI agent sent them to a decent/okay page, but it could have been better. Once again, more training Fix & fill in the gaps ------------------ I had a couple of papers (post-it note style) from 12/8/25. Here are those notes: - I have been thinking about stuff. I will be laying in bed & my mind is going & racing along. - Make a plan... what tools & options do I have? Use what fits for each situation. It is okay to mix it up & adapt to what works. - Plan as if for years - I can see some short patches and fixes - plan as if for years, meaning what is it that really needs to be done? - I have this card & it talks about doing things "Glacier Style" - Carve your own path, go slow, channel your strengths, clear the way for others, stay cool, avoid meltdowns - I really liked that! - Feed in the glossary - take your time & even add more as needed. - Look at the prior plans - I've been working on this for months - Sometimes, I get going so fast, I start skipping things - Work with what you have - that is a great base - you can always make more. - Use one AI model to train the other ... That could be very useful. Harness the strengths of each model. - Use voice to text to help with editing - where it fits - Help the system learn - Take some of the chats & show the request, the response, and any suggestions - maybe help it by giving the answers a rating - just an idea - Offering to save something for the AI agent - giving it some memory - How would that work? What would that look like I took a few more notes on 12/10/25 - see below - Build a small chunk specific tool - include meta data options - Think in terms of small templates - I want this, this, & that for X - I want this, this, & that for Y - Try to stick to it - for consistency - Spend some time training the little one - meaning the private AI agent for adilas I also had some more ideas last night in the middle of the night, and early this morning on 12/11/25 - see below - On the glossary items - add some terms like: AI, AI agent, AI context window, big data, BI or business intelligence, Knox report, mix, spread, delete, status, Nxtlinq, global context, meta data, vendor credit, special accounts, loyalty points, gift card, threshold, mini scan cart, refund, CardPointe, Clover, go mode, AI quick search, signature, e-signature, printer friendly, bulk add, bulk edit, bulk transfer, AI tools, cash counter, fulfillment, AI image generator, touch or touch screen, modal, retail, dashboard, flex attribute, KPI or key performance indicators, due date, tiered pricing, vendor catalog, delivery, age verification, view only, cultivation, metrc, percentage calculator, sales and profit, Adi, harvest, plant tags, data table, label builder, fracture, chart of accounts, reflexive flex grid, direct deposit, parent/child, try storming, and half baked - When adding global content what about default sort orders for tools & glossary items? Expanded topics, etc. see next page for a huge list of what we may want to store - Build a new tool for the AI agent to get at the data - think about a sliding window (AI content window) over tons of data - we only want it to pick up what it needs to (sliding window diagram text skipped but referenced) - Brainstorming on types of data that we may want to collect & organize... - general or global For me - add links, references, sources - document things at different levels - Recruit help! - Send an email out to our team - looking for (fill in the blanks) - Send content & information to me & I'll enter it into the system (at first or for the first round) - When we are ready, and if they (our team) wants, we can help train them on how to add, edit, & view the global knowledge base stuff New notes from 12/12/25 - Small note or context - I was doing some scripture study and looking up some information about being alive & times & seasons - It took me to 2 Nephi 25:25 - then started to look at some verses both before and after that - Some of that was talking about scattered Israel (like in the Bible) I had this thought about adilas... and what I am working on. (see below) - Things are all there... they are just scattered - we need to gather them & help them to be more organized - once they are gathered and organized, the goal is that the knowledge & information will continue to grow & thrive - help gather and organize! - On training the AI agent I may have to tell it something & then tell it what I told it - light review & reinforce the key points - I want to fix and fill in the gaps... That is awesome - At the beginning, anything will help - there aren't gaps, there are holes - just start - We can always circle back around & refine, fix, patch, polish, and/or rebuild - like try storming, we plan, we do it, we see how it works, & we plan on circling back around again & again - small feedback cycle - build & break, build & break - Terms (words) that I was looking up... alive or living... learning, growing, being used, purpose - I do a lot of trail building and maintenance - it is quite the process... We have to scout things out, explore, make mistakes, flag, clip brush, do dirt work, build walls, bridges, crossings, bank retention etc. Then we need to use it (traffic), get others to use it, & then circle back around again - very similar to the try storming concept - What does it take to become a master? What a process that is... - Repetition & context... experience, learning & applying what you know - Times & seasons - everything in its time - Small side note... when I don't know how to spell something, I will enter it into Microsoft Word & have it help me with spelling - I already had the words reinforce and recruit. I couldn't remember how to spell Israel - Like gather Israel, from the Bible - Anyway, I right clicked on the word Israel to see if it had any synonyms - It said Zion as one of the synonyms - I then had: Reinforce, Recruit, Israel (Zion) - Wow, I had a fun spiritual experience - it was awesome & it hit me - I don't know the full meaning, but that hit me pretty good - kinda like a mini outline of the plan of God - Recruit help from others - old power users, reps, consultants, clients, trainers, etc. - If needed, reach out individually to see what you get back. - I'm loving the deeper connection(s) like pondering inspiration & revelation - for me, help others tap into that source or channel - Help create the rich, context specific environments, and make it possible for others to pull from the source - We are gathering - We are gathering, even in our choice of models - (drawing of two models with text) Other systems - mashups & using a bunch of different systems to run your business Adilas.biz - systemizing the application & bringing business functions together - We are organizing - We are learning - We are being led - I am so grateful!!! - Little by little, line upon line, here a little, there a little - Like Daniel & King Nebuchadnezzar (had to lookup that spelling), king of Babylon (or the world) - In Daniel chapter 2 - Daniel had to both show (reveal, uncover, expose, disclose, tell, show) the dream & interpret (understand, explain, clarify, read, decode) what it meant - both reveal & interpret - Stone soup - Bring what you have got & throw it in the pot - We are making stone soup - mixing & blending different pieces together over time - I sure enjoyed my learning & connection session - It meant a lot to me - Hours of rich connection & inspiration - I love it! ----------------------------------------- The above is the end of the notes. A few days later, I took the original notes over to ChatGPT, I plugged them in and we had a small chat about where we are headed. If you want, this is a follow-up discussion that we had on 12/19/25 - https://chatgpt.com/share/69462819-9640-8007-9f14-948f203349b9 |
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Meeting with the Nxtlinq guys | 12/9/2025 |
Quick meeting with the Nxtlinq guys. They were showing us a new compare feature in the backend dashboard. That should help. They wanted some feedback but I have been working more with the main ChatGPT vs the mini private model. It takes time. |
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Meeting with the Nxtlinq guys | 12/4/2025 |
Meeting with the Nxtlinq guys. They were showing us some new updates and how the system (adilas AI agent) is able to ingest uploaded files and how we can edit the main context window (backend admin stuff). After the Nxtlinq meeting, I jumped on again with steve on our GoToMeeting session. We were talking about training it (the mini model) on core concepts and creating a stable foundation. We are going to be using help files to store global context (for now). Eventually, we would like to make a new database that will be just for AI chat, learning, and context on multiple levels (global context, industry specific context, corporation or world level context, and user level context). Steve will be working on a side AI agent (testing things through an API connection). We are trying to get the best options available. |
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Working with Shannon | 12/2/2025 |
Working with Shannon. Going over new changes. Looking around in the Nxtlinq backend application (AI agent backend dashboard). It looks like we can edit things and upload documents now. That will be awesome. I haven't played with it yet, but good to see progress. That should help us with training it and helping certain pieces of global context to stick and be available to all users. Shannon and I then went into our work on the fracture (adilas lite) plan. We were working on the section about lessons learned over time. We are wanting to show that we have listened to clients, done tons of prototyping, and are actively building out the master plan. We have captured tons of this process in the developer's notebook and are excited to really put the whole master plan together and go from there. We truly have experimented and prototyped numerous pieces of what we plan on doing for the whole fracture project. That is super cool. |
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| Shop 12494 |
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Meeting with the Nxtlinq guys | 11/25/2025 |
Meeting with the Nxtlinq guys. Talking about advancements on persistent memory and where things are going. We talked about the backend Nxtlinq dashboard and how to read and help the agent really learn (make things stick). We may need to focus on a specific part of the application and get it really tight. Due to Thanksgiving, we will meet up again in a week. In the meantime, I will be working on some other projects. Once ready, we will get back to AI agent training. |
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| Shop 12458 |
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Working with Shannon | 11/25/2025 |
Working with Shannon. Talking about the time it takes to use the AI agents. Talking with Shannon about the type of AI tool we are trying to use and setup. We spent some time talking about concerns and possible constraints, moving forward. My constraints: - I'm willing but should we do this? I really want it to work - I can see the potential - We need a master trainer that can help others - We need to communicate - Steve and I - My time - Already put in a ton of time - Questions on funding and budgets - Train the mother AI engines and models or the mini model? Which one(s)? - I need some direction - too many things on the plate and I don't know what to prioritize - The training pieces are all over (on the web and in certain docs) also in my head - No one spot for all training currently - Things keep changing - I am saving my conversations with the AI agent, but it takes time to format them, and if it (the training) doesn't stick, then what? - Putting in energy but not getting the output that is desired - we can only go fast for so long - we can keep chipping away at things, but that is it - There are lots of parties involved, adilas, Nxtlinq, our users, and the actual AI agent - We have a vision and we can build a number of things out... we have plans - those plans will take months and months - kinda feeling pressured - Do we really want to have meetings every two days - Tons of potential... how far are we willing to push it?
AI agent constraints: - I've done x hours on the mini model, currently not retaining anything - Storage at the database level - For them and for us - How can we help this process? - How can we help with storage - Known needs - System level, corp level, and user level - They are retaining the chat messages - At the Nxtlinq level - We are not - Question - How do we really train this agent or entity? - It, the agent, is giving bogus answers - For example - How do I get rid of an element of time - How can I tell how many elements of time I have (see stored chats from 11/25/25 - Some other user, not from me) - Can it do what we need it to do - Cut off from the mother, meaning the agent or mini model - Already over a year behind the data on the mother AI engine - We don't know the model that it is based on... It really likes the security and blockchain stuff - Meaning what was the original purpose of the AI agent. - We just need a simple bot that can translate natural language into adilas tools and prompts - Not retaining information long term... Currently only per person, per session, and that's it - How are they doing with the crawler to pick up content - Demands - too much on us, build, train, market, deploy, and it doesn't even work all the way yet - People aren't wanting it... what it currently is and can do... It take too long, it requires too many two-part authentication stuff, and it can't do advanced or multi step things... - It is being used less and less - People want it, but if it gives them the wrong answer and isn't fast enough, they will move on - Too slow, not helpful enough (wrong answers), too many auth steps, can't do complex actions, etc. - Say you aren't using it... then you decide to use it... and it takes multiple steps to do the auth stuff... you have a quick question and you want an answer in a couple of seconds... you then have to do a multi-step 2-5 minute process to get your answer. Pretty soon, you say, no, not doing that... that is from our users. At the end of the session with Shannon, we were talking about our simplified AI plan - 1. Teach it how to do some basic or system navigation, 2. Get it all trained up so that it can help with training and support, 3. The ideal is that it knows everything and can help with the higher consulting level and business level questions. Shannon and I were also talking about the jellyfish model and helping to stabilize the team and their roles. There is a need there. |
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| Shop 12483 |
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Email and Light Training | 11/24/2025 |
Emails and logging in and checking out the Nxtlinq backend dashboard. I'm hoping that I can use that or the main chat interface to help train the AI agent. Either way, we are making progress. We'll see where it goes. Quick testing of the AI agent. It is still not retaining all of the information that we are training it on. We have to figure out a way for it to retain the correct background information (persistent memory). see attached. |
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| Shop 12482 |
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Meeting with the Nxtlinq guys | 11/20/2025 |
Meeting with the Nxtlinq guys. Small updates. Thomas was showing me his nxtGPT product. They are tied to multiple LLM's at a single time and comparing them to each other. Figuring out the next steps. Talking about updates and ability to train and sync data with new and upcoming data. Talking about tax codes and new rules and how to keep the updates coming in. We need to make sure that the model (our AI agent) can get fed with new and updated business rules, data, and logic. |
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| Shop 12473 |
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Phone Call With Josh | 11/19/2025 |
Phone call with Josh to go over progress and direction. He wanted to know how the training was going, for the internal AI agent inside of adilas. I reported on what I knew and told him that the new persistent training was not sticking quite yet for the AI agent. I sent an email to the Nxtlinq guys, and they are looking into it. |
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| Shop 12469 |
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Meeting with the Nxtlinq guys | 11/18/2025 |
Meeting with the Nxtlinq guys. They wanted a way to get and show the error messages in the chat bot. If the page is able to navigate to the correct page, all is well. If not, meaning it throws an error, they want a way to get at those error messages. We also talked about helping to make better error messages to show what to do to fix things (make things more intuitive). They gave us an update and have optimized the memory functionality of the AI agent. There are now a number of users that can affect the global context (actual AI training) within the system. After the meeting, Ted, Thomas, Josh, and I were talking about 3 buckets for our customers - low hanging fruit (those who are using it), those who could use it but aren't, and those who don't want to use AI. Ted was really pushing for us to try to get the people actively using it, even while we are training it. His focus is the commercialization process. We were talking about the need for data and feeding the AI agent. After that, we were looking at AI data and logs, encouraging people to keep going and ask for more (what else would you want from the AI agent - figure out what the customers are wanting). Somewhat of an outreach plan to help commercialize things to our customers. |
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| Shop 12468 |
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General | 11/18/2025 |
Emails and quick fix for the Nxtlinq AI agent SDK file. Recording notes from the past couple of days (11/17/25 to 11/18/25). |
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| Shop 12461 |
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Meeting with the Nxtlinq guys | 11/13/2025 |
The Nxtlinq guys are adding in more logs so that we can track some other things. They are working on a number of things including improved memory and global context stuff. Memory in AI is making training and knowledge stick. We also talked about a number of other topics. Here are a few of them: - The costs for the infostructure and keeping the AI agent up and running. - Talking about global information storage - we really need this, from our team to the bot. - Talking about influencing things upstream and downstream. We need the AI bot to remember and learn, but we also have to be careful about where it gets its information. - Light talks about an audio issue between multiple tabs. The AI agent is still listening in a different tab and responding. The simple work around is the mute button on the microphone. We may look deeper into this, if it becomes an issue. - After the main meeting, Steve, Thomas, and I stayed on the meeting to talk about pricing and future plans. - Being able to train the agent so that it can help with support, setup, and deployment. Figuring out the pain points and helping us as a company as well as our clients and users. - Thomas was telling us some stories about introducing agents for other companies. - Steve was talking about being able to help get the agent up and going and helping with oversight. - Lots of talk about ingestion rates and values (how much we feed it). - Human in the loop to help with the training. - Thomas talking about manual crank windows (roll up/down the windows by hand) vs electric windows (power windows). Ideally, we show our clients and users how awesome it is with AI help. Then, hopefully, they won't want to go back to older tech. - Getting into the BI level (business intelligence level) later on, as we go. - If we train this agent up, it will really help our users and clients with training, consulting, etc. - Here are our steps and phases for working with the AI agent - 1. Navigation and prompts, 2. Setup and training, and then 3. Clear out to consulting. - Small phone call with Steve afterwards to go over our internal plan a little bit. Good meeting. |
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| Shop 12455 |
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Meeting with the Nxtlinq guys | 11/11/2025 |
Meeting with the Nxtlinq guys. They were giving us some updates. They changed the word verify wallet to verify account. That will help out a bunch. They were giving us a number of other updates on things that they were changing and updating. We are all making good progress. They were making a few requests on and we were as well. Both sides and working well together. They are trying to get us some global admin permissions so that we can help and teach the agent. Lots of talks about ways to monetize things (we've got to pay for this thing). Steve, Josh, and Ted were heading that up. This is new territory for everybody. Anyways, the adilas AI agent (by Nxtlinq) was opened up (turned on and allowed) on every corporation and every server this evening. Here we go! |
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| Shop 12454 |
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Refactoring some code for bulk API assignments | 11/11/2025 |
Quick phone call with Shari O. She had some questions about some sold inventory reports. Spent some time refactoring some code on the adilas third party action page. Removed tons of lines of code. Consolidated some of the sub API socket assignments into a function call. Jumped on a meeting with Steve to go over some prep stuff for the AI agent launch. We were asking the ai agent to help show us some info. It didn't retain our last training session. It did, during the session, but then it didn't keep it long term or globally. Light AI training... see attached word doc - eventually, we want to make all of our documentation public and use it to train all of the LLM's (large language models). That would be super cool. Working on cascading the code to get the Nxtlinq AI agent up and running for all corps. Added some code to the classic homepage to check for the AI agent. If the AI agent is not found, it auto adds it. That should help with new corps coming onto the system. Finished up the code to cascade the auto deploy of the AI agent to all servers and all corps. Pushed new code up and ran the update. |
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| Shop 12450 |
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Work sessions on AI launch | 11/10/2025 |
Multiple sessions throughout the day, all working on the AI agent launch. We are just a day or so out from the live launch. Here are a few of the things that I was working on today. - Doing some planning for the day. We have a bunch of things planned to help with the AI agent roll out. Sat down at the table, away from the computer, and wrote out about three pages of notes. If I go right to the computer, I get an idea and just want to do it. Sometimes, it really helps to step away from the computer to do some planning.
- Started coding by adding in a new user level on/off switch for using the AI agent at the personal settings level. Tied that mini switch clear down to the login level of the application. Cascading code throughout the system to match the new setting.
- Working on bulk flipping the AI agent on for all corps. Tightened up the mini API to specifically look for the Nxtlinq web id to see if access is allowed or not. Read through a draft copy of a new entry from Cory for a news and update on the AI agent inside of adilas.
- More planning for a bulk update to help turn the AI agent on for each corporation and get the correct API sockets turned on as well.
- Checking code and then cascading database changes to all servers. Running updates to add the new user level setting for show/hide for the AI agent. Pushed up a couple of files and did some light testing on data 0. |
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| Shop 12449 |
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Working on the AI agent code | 11/8/2025 |
Adding in some new corp-wide settings, to the local variable scope for the SDK for the AI agent. Sent a small note to the Nxtlinq guys with a few questions. Responding to some emails. Sending information back and forth with the Nxtlinq guys. Showing them some newly proposed corp-wide setting variables. Nineteen new variables for things like what to call the company entity, what to call your customers, your parts, inventory items, locations, etc. Basically, helping the AI agent speak the language of the corporation or company using the agent. |
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| Shop 12445 |
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Meeting with the Nxtlinq guys | 11/6/2025 |
Meeting with the Nxtlinq guys. They have been removing the AIT validation stuff, at our request. It just makes it smoother. We are tracking and logging things inside the system already. They are also logging things based on the passed in user info. Here are some other notes from the meeting tonight: - Maybe an internal survey to see what is important to them, security wise - Shooting for a friction free environment for the users on the AI setup and usage - Automation of orchestration and governing the management of the AI tools - The launch is just the start. Then we finetune and optimize things as we go - Possible customer services bots or agents monitoring support bots and prompts - Talking about support and helping to see some automated options - less manual work - maybe use the AI agents to submit any support needs or bugs - We talked a lot about prepping for a launch next Tuesday. We are planning on pushing the AI agent to all of our existing users. They don't have to use it, if they don't want to, but it will be turned on and available for all users. - They, Nxtlinq, are going to do a quick video or series of gifs to help with the wallet link-up and verifying the user. - Steve was saying that we will be trying to stay in front of our clients - prep what we can - From Ted... our super users will become superhero users - Small discussion about people - they need to use the new tools, or they will be left behind - Ted was talking about the wheel. He was saying that AI will be as impactful as the wheel, in his mind. - Helping our customers become believers |
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| Shop 12438 |
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Meeting with the Nxtlinq guys | 11/4/2025 |
Quick meeting with the Nxtlinq guys. They were reporting on a number of enhancements. They now have complete audio options, no need to click the send button. They are wanting to get an Adi (our dog avatar mascot) image for the AI agent. Ted is really wanting to get the AI agent out to all of our clients. Even for free for the first little bit. Light talks about learning cycles and dedicated learning time for both us and the AI agent. Some of the feedback that we are getting is that our clients want more deeper functionality... things like customer histories, PO's for specific vendors, and other more advanced look-ups and datasets. We have to start somewhere... we'll get there. |
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| Shop 12429 |
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Meeting with the Nxtlinq guys | 10/30/2025 |
Meeting with the Nxtlinq guys. They had a small agenda and we went over it. Nothing too crazy. They are using a crawler to go over the help files. They did have some questions about some of AI quick search prompts that did not have a help file and/or would go to some other site or external reference. We talked about it and they are going to use their web crawler and get what they can. Thomas from Nxtlinq was talking about their AI agent, they are calling NxtGPT (GPT stands for Generative Pre-trained Transformer - AI deep learning stuff). That seems like a cool name. I may put in writing some of our requests with regards to the AI agent. We just want to turn it on and not have to verify or set permissions. Our application has built-in error handling and user permission checks on every page. If we have to do settings inside the system and inside the AI agent, our customers or clients might say no. Too much setup... Anyways, I will put some stuff in writing and we'll go from there. Basically, I'm going to say that adilas, as client of NxtGPT and Nxtlinq, we don't want the AI agent to require permissions. The adilas.biz application will take care of the permissions at the user per corp per page level. They reported that they are ingesting the help files and pushing them over to the agent. That is awesome. There are over 500+ help files. That is awesome and will really help get the AI agent smarter on adilas stuff. Lastly, I really want to read over some feedback that they, Nxtlinq, gave us from the last meeting. I briefly saw it, but want to really give it a better look over. That is mostly for me. Anyways, good meeting. I sent Steve a quick text after the meeting. |
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| Shop 12422 |
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Meeting with the Nxtlinq guys | 10/28/2025 |
Meeting with the Nxtlinq guys. They went through our feedback (from Sean) and tried to duplicate and checkout any and all of our feedback that we gave them. That's pretty awesome. Some of the feedback was requesting complex or linked prompts. We know that the users want us to get there, but we have to take it one step at a time. We aren't there yet. We tried to provide them some answers and such. I think that it went pretty good. Talking about ingesting help files for the AI agent. Talking about re-verification of identities within the AI agent. We are making progress. After the meeting, I was working on a newly requested combo prompt for starting a new cart and assigning a customer to the cart. Finished up the new advanced prompt. It looks like this: new customer cart assign [customer id] - Here are all of the cart prompts as of right now. |
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| Shop 12408 |
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Quick Meeting | 10/23/2025 |
Meeting with the Nxtlinq guys. It was just Thomas and me. We briefly spoke for a few minutes and then jumped off. I then went in and disabled the user access that I had given them to the data 20 box. We will give them a different user login. Light clean-up and then a small email with an update. |
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| Shop 12387 |
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Meeting with the Nxtlinq guys | 10/21/2025 |
Meeting with the Nxtlinq guys. Fairly quick meeting. Making some great progress. I reported that the multi-tenant options were available on all servers. I also reported on a number of new keywords and prompts. After the meeting, I spent some time and got one of the older accounts on data 20 up and running as a new test spot for the AI agent. |
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| Shop 12395 |
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Changes for the Nxtlinq AI Agent | 10/20/2025 |
Emails and checking up on the proposal/questions sent over to the Nxtlinq guys. Working on some code changes inside the system. Added a dynamic server name to be passed through the AI agent code. Went in and added seven new API sockets to be turned on through the 3rd party solutions page for adilas API sockets. Sent an email to the Nxtlinq guys with a small update. |
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| Shop 12394 |
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Emails | 10/18/2025 |
Somewhat of a long and technical email to the Nxtlinq guys. We need to make some decisions on how to proceed from testing to a multi-tenant type environment. I ran through a number of questions and tried to provide some possible solutions. We honestly can go in multiple directions. Hopefully I said that in a way that it wasn't too confusing. Small clean-up for the day. |
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| Shop 12393 |
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General | 10/17/2025 |
Doing a few random things. Data clean-up for Sean and a client out of California. Reading through emails. Recording notes from yesterday 10/16/25. Lots of good direction and ideas. Including info on creating your own aliases and AI quick search prompts. Lastly, working on an email... started a draft for the Nxtlinq guys. I ran out of time. |
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| Shop 12392 |
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Phone call with Steve | 10/16/2025 |
Phone call with Steve after our AI meeting. Going over tons of ideas and options... Exciting times. - On the 3rd party solutions page, add in the other API's that Nxtlinq may need to access their data. Do this all behind the scenes so that a user doesn't have to go in and turn any of those settings on. That way, all of these API sockets will be monitored and controlled via the 3rd party solutions channel. - We can handle the user level permissions - meaning allowing a user to turn the AI agent on/off at will. The corporation may turn it on, but not all users may want it. Basically, the corp level will be the top level and the user level will be on an individual basis level. - Earlier today, we were talking about subsets of aliases - Steve had the idea... What about multiple levels deep? Aliases of aliases of aliases... We can totally keep it all strait but what if a user does something all the time... What if the AI agent was able to make its own aliases for common tasks. Talking about predictiveness and interpreting input and intent - We even talked about slang or certain terms that may be used in different regions.
- "Adi go" - command prompt - We already have "Adi" as our little blue dog avatar (helper or mascot). Maybe using "Adi" as a command prompt. This would be similar to how smart phone users can talk with Siri or Alexa. Ours would be "Adi". Idea from Steve. - Sell what we have - The value of hyperlinks - mixing command line, Gui interfaces, web, and API - we are built for this After Steve and I got finished, I was wrapping up for the day. I was really grateful that everything was going good, meeting wise, direction, etc. I was saying a little prayer and had a number of thoughts pop into my head. Call it inspiration, direction, or whatever. I'll take it and I love it! Here are my notes: - On the user set aliases (making their own prompts), for the AI quick search prompts, what if we used a "#" (pound or hashtag sign) for all user specific prompts. That would not compete with any of our existing prompts. For example: #xyz or #something or #somethingelse... - we could even reclaim certain existing prompts by just add the hashtag in front of it. Another example may be... The prompt or keyword for clocking in/out has an alias of "my time" - what if a user wanted to use that for his/her own prompt for project time tracking. They could create "#my time" or "#time" and it would totally work. Even though both of those values are normal keywords by themselves. It could be really cool. Imagin a hashtag and at least one letter, more if needed. Super simple for quick speed. - Be able to build and show the prompts and what they are tied to. Simple user interface to setup and maintain their own AI quick search prompts. Very similar to the icon payee top links in the snow owl theme, but even more, and easier to get to... they would be clickable and usable in the AI quick search text fields. Anywhere in the system... That would be super cool! Even better than the icon payee top links (existing link building or special button feature inside of adilas right now). - What if we used the "go mode" page (new AI quick search prompt page) to show their own prompts or even a fracture type interface - simple tiles and buttons - (small sample image) - When creating your own buttons, be able to name them, color them, set an icon, a link (advanced - they have to know the URL or web link) or a simple quick search prompt. Maybe even tie the user created prompts and buttons together or make it a dual-purpose database action. Some of the buttons may need to open up a new window and some (most) will just jump to that new page. Just some ideas. - What about being able to tie multiple prompts together in a mini list, process, or mini prompt recipe? That would be super cool. Imagine something like this: start cart, choose customer, show x or add y to the cart, simple cash checkout - simple English or natural language instructions and the system would help them walk through that process... kinda hold their hand. It won't just do all of them at once, but it will know what the process should be. We could easily create those one-to-many relationships and virtual steps or phases of the process. Just for fun, it makes me think of a data assembly line or assembly line for data. Cool stuff! - Along this multi-prompt line... We already allow for duplicating invoices to the cart. What if we used a template type scenario and setup a master invoice and then were able to duplicate the exact thing in one click. If changes are needed, they could modify it, but cut out all of the searching and such. What about a partial duplication process... once again a mini recipe for certain steps or data assembly line controls. - We have a page inside the current system called "my favorites". It currently has a number of buttons on that page. This was one of my todo list notes from a couple of days ago... It totally fits here (see below). todo: Get back to the ideas of the my favorites page inside of adilas... it got taken over and a bunch of hardcoded buttons put on it. But it does have some potential. See this help file - help.cfm?id=418&pwd=favorites - or visit this page - top_secret/secure/my_favorites.cfm. Added this note on 10/14/25 - it would be so cool to let the users choose anything that they want in the system and then organize it and name it. Cody Apedaile started a draw your own interface (but got pulled off of it for budget reasons). Anyways, the goal is still there to help create your own interface and organize your own buttons as you see fit. - Super simple, using old school tech with a modern or new school flare... it will work - What about helping with memory... We could help hold small comments, save/hold this or that, or even helping to string things together... Maybe help them with their memory... It won't tax the server very hard (store simple things in session - per login). Imagine small AI quick search prompts like clear memory, save to memory, view memory, etc. Super simple stuff. Use JSON storage if saving memory in a more long-term fashion. Simple interface to get things in/out of memory and even use the AI quick search field to help. That would be cool. - This may not be ready yet - but what if we record and then help them go from one thing to the next to the next... simple session memory with a display... If we know a series of AI quick search prompts... It wouldn't be that hard to display something with a next button, help them step through the process. |
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| Shop 12391 |
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Meeting with the Nxtlinq guys | 10/16/2025 |
Meeting with the Nxtlinq guys. Going over progress. Then talking about multi-tenant options (settings, domains, corps, keys, secrets). We setup some small dates and goals to get an MVP up and live. Other small talks on different subjects. Fairly quick meeting. |
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| Shop 12378 |
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Meeting with the Nxtlinq guys | 10/14/2025 |
Meeting with the Nxtlinq guys. They have automated and worked with 350+ tools to date (adilas AI quick search prompts). We were talking about testing. Going over the auditability (following the audit trail) and tokenization tracking. We want it to be more loose and they want it to fully follow full block chain tokenization stuff. Functional testing vs real user experience testing. Talking about really beating things up. We are trying to get things done within about a week as far as all of the tools. We are shooting for sub 500 total tools. That means I have another 100 or so still to go before next week... I hope I make it... :) I've got a list, a plan, and a bunch of notes... What I don't have is time. |
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| Shop 12379 |
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Working on documentation and prompts | 10/14/2025 |
Making a plan. Went through a bunch of menus and found 30 or so homepages or sections that I want to add to the prompts list. Started working through my small list. Ended up doing some special coding to allow a vendor/payee id to be assigned directly to a new PO right from the AI quick search prompts. That should help out the Nxtlinq guys. Steve told me earlier today that they were looking for something like that. |
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| Shop 12370 |
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Working on AI options and prompts | 10/13/2025 |
Six different sessions throughout the day. Starting at 7:30 am and ending around 1:15 am (on the 14th). Long day. Here are a few of the things that we did. - Working on help files and emails. - More work on help files and navigation options. Recording notes from Saturday, big work session day. Back rolling through the additions, changes, and updates for the AI quick search prompts. More navigation and help options. Trying to expose some of the different resources like switching corporations and the developer's notebook. - Working on new prompts for the API sockets and other key pages. Spending some time in the invoice and deposit sections. Things like apply payments, show invoice payments not yet deposited, sales tax reports, etc. - Adding in a new payee lookup for the mini API, at Matt's request (from Nxtlinq). Started working on the new code. - Working on some new code for a vendor lookup and an employee lookup for the mini API. Working on the code, testing, and pushing things up. More work on documentation. Then went to all servers and pushed up new database records for help files (10 new ones) and new permissions (7 new ones). Did that for all of the servers. Email to the guys at Nxtlinq with some instructions. |
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| Shop 12339 |
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Meeting with the Nxtlinq guys | 10/7/2025 |
Meeting with the Nxtlinq guys. We showed them tons of new progress. We have really spent a ton of time in there (in the AI prompts and keywords) prepping the model. They had a couple of questions, and we had some good conversations. Bryan pitched a cost sharing model and then we got into some questions about the future of AI and where we see it going. The last 15 minutes or so were Steve and Thomas going over lessons learned and what each sees as part of the future. |
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| Shop 12346 |
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Working with Bryan on prompts | 10/6/2025 |
Quick meeting with Bryan. He was doing some research for me on new AI quick search prompts to help round out the navigation section. He passed me over a bunch of things via the GoToMeeting chat. I'll try to work on them before tomorrow evening, meeting with the Nxtlinq guys. |
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| Shop 12330 |
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Meeting with the Nxtlinq guys | 10/2/2025 |
Documentation and then working with Bryan again to get his new code implemented into the system. Lots of back and forth, testing, documenting, and pushing up code. Meeting with the Nxtlinq folks. We presented on what we have been doing. I showed them some new stuff and all of the new prompts and documentation. Hopefully it is helping them out. I am happy with it. The new prompts are already making my life easier (I have been using them). |
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| Shop 12327 |
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Meeting with the Nxtlinq guys | 9/30/2025 |
Meeting with the Nxtlinq guys. Steve, Josh, Bryan, Matt, Roger, and Vincent were on the meeting. We showed them some progress and sent them over some help file links. Mostly what we were able to show them was the new documentation stuff. One thing that Vincent said that I liked was "Remove the friction". That should be our main goal in this venture. I liked that saying. If we could remove the friction on other parts, things would be even smoother. Without getting too technical, you have to have some friction, but making things smoother would be a plus. There is a balance point. |
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| Shop 12344 |
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Meeting with the Nxtlinq guys | 9/25/2025 |
On the meeting with the Nxtlinq guys. They had a couple of questions. They want to know when we will get certain deliverables done and live. We also introduced Bryan Dayton as a new adilas team member on this project who will be helping Steve, Josh, and I. That should really help. Often, Steve and I are on all kinds of meetings and don't get the time to get everything done that we need to. Adding in Bryan to the mix should really help. We will work with him to help pass the vision and help direct him in the right ways. Good stuff.
After the meeting, jumped on a phone call with Bryan. Talking about next steps and setting up some time to meet tomorrow. After that, I sent a text message to Steve with an update about what we went over and when we are meeting next. I'm excited to see where things go. |
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| Shop 12320 |
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Working on AI options and prompts | 9/18/2025 |
Spent all afternoon working on AI options and prompts. I'm making tons of progress. Most of it is hidden right now but I will try to document it here soon. I want to get it working and tight enough before I get people to really beat it up. Uploaded some of the changes. Meeting with the Nxtlinq guys. They were showing me some progress. We gave them 7 new prompts last meeting. They were showing how they can already use all 7 of those in what the AI agent can do. |
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| Shop 12307 |
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Meeting with the Nxtlinq guys | 9/16/2025 |
Working on the AI options and prompts for the AI quick search. Had a good 3+ hour long session working on the search action page and refining things. Later on, we jumped on a meeting with the Nxtlinq guys. Going over progress and answering questions. They are wanting more options, prompts, and documentation. They are doing a great job. Some of their questions will require Steve and I to get together to make some plans. We are all making progress. |
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| Shop 12298 |
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Meeting with the Nxtlinq guys | 9/11/2025 |
Meeting with the Nxtlinq guys. They are trying to streamline things. Removing user friction, less logins, less security checks, etc. The also changed their main permissions and sub permissions. If more are needed, we may add an advanced mode or deeper permissions. They are getting faster on the UI/UX. They reported on some changes to the voice feature (microphone). It is able to remain active vs closing right after usage. We may need some more real-world testing to see what works best. After the meeting, I sent a quick text to Steve to fill him in on the progress. |
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| Shop 12272 |
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Meeting with the Nxtlinq guys | 9/9/2025 |
Meeting with the Nxtlinq guys. They were showing us a demo of what they are working on. More usage of the natural language and then converting that into options and prompts for the AI agent. Cool stuff. They had a couple of other questions, and we said that we would provide some user stories, scenarios, and requirements for the cart. Once that is done, we want to get a full sign-off on the cart functionality before rolling into the payroll functionality. After the meeting, I did some light clean-up of some of the records (customers and customer contacts) and sent them a small follow-up email. |
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| Shop 12282 |
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Working on the AI agent code | 9/5/2025 |
Multiple sessions throughout the day. Emails and looking over documents. Going over new samples provided by the Nxtlinq guys. They provided a zip file and I was browsing and looking at the info on the page. I sent a couple of pages off to Wayne to look at, to get a second set of eyes on the new code samples. Working on the Nxtlinq integration project. Working on some samples. Did some live testing, off the side, so that no one would be bothered. Worked a little bit with ChatGPT to get some code all lined out. That was kinda fun. We built it out and tested it locally and then pushed up some code live on data 0 for testing. I then sent some emails around to let a few people know. Finally, I sent off an email to the guys at Nxtlinq with a few small questions. |
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| Shop 12260 |
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Meeting with the Nxtlinq guys | 9/4/2025 |
Meeting with the Nxtlinq guys. They are wanting to know about progress and how quick we can get them stuff to work with. They were showing us some new changes. They are simplifying things and making it easier to integrate the SDK's and to toggle on/off certain pieces of the AI agent. We told them that we are working on putting the AI agent in the headers and footers to make it show up (if turned on) in all pages of the adilas application. They would like that done as soon as possible. We set a date for this coming Tuesday. They would love it sooner, but we'll see how it flows and goes.
After the meeting, called and talked with Steve for a few minutes. He is pretty comfortable on where we are heading. We also talked about a couple of other projects that are circling around as well. |
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| Shop 12281 |
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Working on the AI agent code | 9/4/2025 |
Working on getting the AI agent into the headers and footers of all adilas pages. Did some planning and some AI research as well. Small work session. The Nxtlinq guys sent us some samples. I was looking through things and pulling them apart. I only want to add just what I have to. Nothing extra. Making progress. |
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| Shop 12265 |
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Working on AI options and prompts | 9/2/2025 |
Working on the adilas mini API and what it can do. Added some security options to help keep it safe. On a meeting with the guys from Nxtlinq. Going over progress and doing a little bit of show and tell to help each team see the progress. They are making improvements on the user interface and being able to keep the AI agent screen on top. They also showed us a possible version where the AI agent interfaces and works with a SPA (single page application) type interface. That looked a lot nicer but would require us to rewrite quite a bit of code. |
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| Shop 12243 |
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Meeting with nxtlinq | 8/28/2025 |
On a meeting with the guys from Nxtlinq. They showed us some progress and had a few questions. They are just barely being able to start using some of the URL options and prompts. We still have a ways to go, but they are making progress. After the meeting, I sent an email to both Steve and Josh with a small overview of how it went. |
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| Shop 12251 |
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Meeting with the Nxtlinq folks | 8/26/2025 |
On a Microsoft teams meeting with the folks from China. We went over the AI quick search and did a number of walk-through demos. They had a couple of questions but seemed fairly happy with the progress. They are planning on playing with it and even trying some language translations on the AI agent (bot). That would be super cool. |
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| Shop 12229 |
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Meeting with Steve | 8/21/2025 |
Meeting with Steve and the developers who are building the bot engine and AI agent for a voice-controlled POS (point of sale) options. They are using the adilas API endpoints and sockets to interface with us (currently). We got on the meeting and we went for a little over an hour. There were eight of us on the meeting. We would speak and then wait for them to translate. They showed us a small demo and had a small agenda ready to go. We talked about different options. Originally, they just wanted to use the adilas API sockets and endpoints. Now, it feels more like they want to build the engine inside of adilas to have more options and access. That is potentially good and bad. We want to look deeper into this before we just say yes, do it. After the meeting, Steve, Josh, and I got on a call and talked about some possible options. We will meet again as a team on Monday afternoon to come up with a plan. We will then present that plan to the Nxtlinq (spelling?) guys. |
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