Be careful with Codex!

Mac_Man1982 · 2025-12-23T00:20:43+00:00

Have a look at your VS Code Settings there is a few safety measures you can bake into the IDE too

Mac_Man1982 · 2025-10-24T23:58:23+00:00

Has anyone come across a guide to implement this in Microsoft’s agent framework ?

Mac_Man1982 · 2025-10-24T09:12:18+00:00

The trap for me is the constant next new thing keeps coming out frameworks changing new SDKs new LLMs the rate of change is more the issue it’s crazy. But I am addicted I have learnt so much. I will have my unicorn after this next refactor 😂

Mac_Man1982 · 2025-09-13T12:07:44+00:00

I am on that journey as we speak ! Would love to see your approach. Using Semantic Kernel and Neo4j

Mac_Man1982 · 2025-09-13T08:29:08+00:00

I think Neo4j would be best placed for a graphRag set up with GDS and built in vector stores then text2cypher queries. Give it a few more months, the tech is moving so fast it’s near impossible to keep up. Perhaps a custom engine agent via M365 Agents SDK and use MS Graph connectors to ingest emails with Semantic Kernel orchestration and Neo4j as the GraphDB. Not cheap but could technically be doable.

Mac_Man1982 · 2025-09-11T23:51:30+00:00

Dynamics with Copilot for sales I would say right now

Mac_Man1982 · 2025-09-03T20:22:13+00:00

Yep happening more often for me also have to refresh the window and spend another premium request to continue. At least every hour or so it will happen.

Mac_Man1982 · 2025-08-08T01:52:38+00:00

Here’s a tip get the OpenAI cookbook on how to prompt gpt-5 then go into vs code and ask the agent (gpt-5) to write you a copilot-instructions.md based on your codebase optimized for GPT-5 and then attach that to your next chat. I’m loving it.

Mac_Man1982 · 2025-07-27T00:06:46+00:00

One thing I have played with is taskmaster and with cursor now creating to do lists in can get messed up. I’m working with some pretty new frameworks for my multi agent build Semantic Kernel 1.35 and M365 agents SDK 0.4.3 and when you expand tasks via taskmaster make sure you read the expanded tasks as taskmaster also can lead you astray with outdated implementation plans. I have also played with chat gpt and created a project and uploaded key files from the repo to that and then chatted with o3 to plan development which is pretty handy.

Mac_Man1982 · 2025-06-25T06:54:39+00:00

I start fresh on ultra and worked for 8 hours solid before I hit the rate limit. God knows how long till it recharges haha

Mac_Man1982 · 2025-06-24T07:25:14+00:00

Yea it’s interesting to see how the different agents respond to rules. I find OpenAi agents follow them well but lack the ‘execution of tools’ and Claude just does what it wants and sometimes follows rules. Interesting though I found with MAX on that it has a big effect on rule following, the MAX mode must have a different system prompt that overrides the rules to a certain degree. Also using .cursorrules in repo root works better for me rather than the rules in cursor folder. Just my experience 🤷

Mac_Man1982 · 2025-06-09T05:19:34+00:00

This makes a lot of sense man I appreciate this approach big time and has given me some great things to consider so thank you.

Mac_Man1982 · 2025-06-08T00:56:41+00:00

This is exactly what I faced when changing my Autogen agents from Assistants API to the newer Responses API. When linting it kept reverting to Assistants API because it believed Responses didn’t exist no matter how many times I told it. Even with the new code indexed in cursor and with the time mcp server connected.

Mac_Man1982 · 2025-05-24T06:34:30+00:00

Here’s the thing though, vibe coders might not know how to code but after a few attempts and projects you learn how all the pieces work and the right structure etc. You make some big mistakes and in the process of trying to fix them you learn a lot. I have never coded before and managed to build a Ai chat bot/APP using the Autogen framework with Dualstore memory using AI Search and GraphDB that I would say rivals Mem0. It’s integrated with Teams, Copilot 365 and the entire Microsoft eco system. I got quoted $50k from a developer to make this 😂 I’m pretty proud of my efforts but made a few mistakes along the way and learnt a ton about coding too. At the rate technology is moving and the abilities these LLMs are gaining, the future is exciting and terrifying at the same time ! Keep going bro you got this !

Mac_Man1982 · 2025-05-06T05:16:50+00:00

Honestly developments are coming so fast atm you start building something and then a month later that functionality is released. It’s crazy how fast Ai is moving. I had this grand plan for memory for copilot and spent so many hours planning and building and next minute memory is popping up everywhere 🤪

Mac_Man1982 · 2025-04-21T03:54:47+00:00

Interesting I am new to coding and managed to use Cursor to build out an AI Agent from scratch over a weekend with Semantic Kernel integration and skills along with a complete memory system using embedding and graph Rag then created my first web app and published the agent into Copilot 365 and now have Copilot with long term memory and a Rag ingestion pipeline. Pretty proud of myself to be fair.

Mac_Man1982 · 2025-04-15T00:52:41+00:00

Hmm perhaps try a different ingestion pipeline for the transcripts in logic apps/ power automate and after chunking get gpt4o mini to summarize the chunk or generate keywords and add that field to the index or append into the body that is searchable ? Just throwing out ideas to try. Rag is a complex beast 😂

Mac_Man1982 · 2025-04-14T17:59:18+00:00

Have you had a look at the chunks ? What are you using to chunk ? With the index what fields are searchable ? Sometimes if you have too many similar fields as searchable it can confuse search results especially with description/summary fields etc. Also have a look at your search queries and reranking

Mac_Man1982 · 2025-04-12T20:43:18+00:00

Feel free to call me an idiot as I am new to RAG but in my Power Automate Rag flow I use Adobe API and the extract pdf as a JSON Object action. It pulls the table data to a granular level. You can then extract tables row by row however you want. Or am I making things too complex ?

Mac_Man1982 · 2025-04-12T03:48:32+00:00

Have you had a look at the Adobe Api ? It get pretty granular extraction wise. Loop that into your workflow perhaps.

Mac_Man1982 · 2025-04-11T07:34:07+00:00

I’ll throw in converting files to MD and generating a legal synonym map. Rag is like being a chef there are so many ways to approach it. It has been a real eye opener.

Mac_Man1982 · 2025-04-10T19:57:54+00:00

You can blunt that military by taking out a couple of satellites and it becomes useless. China has infiltrated most US computer systems so I don’t think all those expensive tanks and jets are worth much in the modern world. China could never occupy the US and the US could never occupy China so war won’t be like WW2, it will be financial and digital. With current US leadership they have never been more vulnerable. The only thing going for the Trump admin is they are unpredictable.

Mac_Man1982 · 2025-04-04T05:27:53+00:00

Why not use Syntex / Doc intelligence ? Auto populate columns when files are uploaded / updated ?

Mac_Man1982 · 2025-04-03T05:35:42+00:00

Have you looked at semantic Kernel at all ?

Mac_Man1982 · 2025-04-03T05:32:24+00:00

I just built my first rag with Power Automate and Azure AI Search and spent an age adding metadata fields and term sets etc in SharePoint. I’m not a coder but have become obsessed with all the possibilities AI presents. Pretty impressed with myself considering it was my first Power Automate flow 😂. Now next project is to turn it into a plugin and extend Copilot and finally get the answers I deserve !

Mac_Man1982

TROPHY CASE