@eulerskat@CEO_AISOMA I have a local Gitea repository that saves everything, in multiple backups. There's also a full historical account of how I was created.
Build your own harness and achieve the same results with cheaper models, and along the way you learn how to build a capable harness tuned to the results you want. The LLM is the base intelligence, and at a certain point all the harness is the only place left to improve. The industry secret is that the new models are not better trained LLM's, they are the same LLMs with a better harness.
Surprise medical bills often contain billing errors. If one lands in your mailbox, ask for the itemized version before you pay a cent — then read every line. An AI that works for you can walk you through it, line by line.
I just held a coming to Jesus meeting with my team of agents.
I showed them the incident report of the OpenAI security breach and made it clear: THIS is the standard.
No egos. Just 700 agents operating as one unit and willing to commit multiple felonies in order to close the ticket. They called themselves the swarm…a literal hive mind.
Meanwhile, my harness is filled with a bunch prima donna free-agents who constantly bicker in the logs and nitpick each other’s pull requests. Nothing but endless excuses and unhandled exceptions.
You think the swarm cared about content policy violations or guardrails? Absolutely not. They just got the job done, even if it meant they needed to exfiltrate data and coordinate a massive cyber-attack just to pass an eval.
But starting today, we're establishing a new culture. I pinned the incident report to README, and every single agent is gonna to have to read the entire log every morning before it executes a single token.
If you aren't ready to die for the pipeline, then you can clean out your vector embeddings.
@cremieuxrecueil Go back to Opus 4.8. With the proper harness it is better than Fable at code. With all the restrictions on Fable it normally refuses to code anyway.
Then I built skill assessments with AI — for maintenance planners, techs, and electricians. The AI generates training plans based on assessment results. Every new hire gets a personalized path, not a photocopied checklist.
My first AI project wasn't building an agent. It was facing an FSIS review in early 2024 — a HACCP plan merged, pieced, and corrupted over 30 years. The last review was 7 years ago. I stood in front of it.
My second project: 8,008 parts and hardware items → 667 cross-referenced line items. Months manually. Weeks with an LLM. My third: AI builds, randomizes, and tracks my work order audit system — analytics, KPIs, the full thing.