Topic
AI Agents
99 posts on ai agents — guides and lab notes from real runs on hardware we own. New posts land here automatically. Start anywhere, or grab the copy-paste prompts that ship with them.
- 6 min read
Prime Agent hit 95.5% on ARC-AGI-3. I did not install it.
Prime Intellect's new agent beat the human baseline on ARC-AGI-3 at launch. I copied one idea, queued one benchmark, and installed nothing.
- 6 min read
Build Local LLM Eval Data From Real Failures
I show how I turn failed local coding runs into replayable eval rows with the prompt, model output, tests, route, and verifier result intact.
- 6 min read
Local open-model agents just became a product category
LM Studio shipped Bionic, a full agent built on open models with local code projects, voice, and document work. The interesting part is not the app. It is what.
- 6 min read
Your local LLM benchmark is probably lying to you
A local model pass rate can be true and useless at the same time. Here are the three ways local LLM benchmarks mislead you, drawn from real rows on my RTX 5090.
- 6 min read
Your Agent's Audit Trail Cannot Be Retrofitted
Agent logs show activity. They do not prove the outcome an agent claimed. Here is the verification layer I added after an agent reported two false dones.
- 6 min read
My Agents Have to Prove What They Did
I extracted the claims ledger that runs my agent operation into showwork. Falsifiable claims, deterministic checks, and an exit gate that refuses a false done.
- 6 min read
When Claude hits a weekly limit, your agent fleet still needs a third CLI
Claude and Codex both went dark. Here is the tertiary Gemini path I wired, with honest qa_reviewer stamps.
- 8 min read
I built a self-improving code model on one RTX 5090. Here is what actually worked.
Six pieces, one consumer GPU, no cloud. The honest results: some parts worked, some were flat, and one idea changed everything.
- 5 min read
Local LLMs Need a Timeout Before They Need a Bigger Model
A bigger local model will not fix a stuck runtime. Add a bounded inference doctor first, then trust the benchmark.
- 5 min read
Your local LLM is not a worse Claude. It is a different tool.
Stop scoring your local model on how close it gets to Opus. It is a different tool with a different sweet spot. Here is the line, and which side your work sits on.
- 4 min read
How I Gate a Local Coding Model Before I Trust It
A local model is not ready because it runs fast. It is ready when one verifier loop can prove the output before an agent writes files.
- 5 min read
How I Make Local Model Runs Fail Safely On A 5090
A local model run should prove its safety path before it proves a score. Here is the small guardrail loop I use on my RTX 5090 for QLoRA starter work.
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