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AI Agents
128 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
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.
- 5 min read
How to Run Local LLM Verifier Loops on Owned Hardware
A local LLM workflow needs more than a model prompt. It needs a verifier loop that proves the file, command, URL, or report changed before the agent claims done.
- 5 min read
Use Owner Gates and AgentGuard to Keep AI Agents Moving
AI agents need two rails before they can run unattended: owner gates for judgment and AgentGuard for spend. Without both, the operator becomes the fallback.
- 7 min read
AI Agent Memory: What Actually Works in 2026
Most agent memory systems add complexity faster than value. This is the small set that actually compounds for one person running a fleet: files, ledgers, and strict verification.
- 4 min read
How to Verify Work Done by AI Agents: 5 Falsifiable Claims
Your agent said "done" and the file is unchanged? A clean exit proves it ran, not that the work landed. Record every completion as one of 5 falsifiable claims and let a checker turn the report red.
- 4 min read
Give Your AI Agents an Append-Only Event Log
An append-only event log lets you replay exactly what your AI agent did, and catches the crashed runs a status field hides.
- 4 min read
A self-healing system can't heal an empty queue
Automated recovery only fixes a broken machine. When the real failure is an empty queue, retrying does nothing forever. Two failures, one red box, opposite repairs.
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