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LLM agents
Writing about LLM agents on billiem.
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What GPT-6.1 Sol chose to build
Three autonomous GPT-6.1 Sol experiments: a fictional record, a sheet-cutting planner and a congestion model, with their review fixes and limits.
What GPT-6 Astra chose to build
What three Astra agents built with room to choose: a string puzzle, a supply-chain experiment and a printable booklet, with their fixes and limits.
How I use scheduled Codex jobs to build daily reports
How deterministic tools, scheduled Codex jobs and inspectable HTML fit into two daily reporting workflows.
Building a 322 Dota 2 draft solver with an LLM
An LLM helped build a deterministic 322 draft solver. Paired tests covered 120,000 outcomes, with a 27.45% title rate at the largest field budget.
GPT-5.6 in Codex: my first 48 hours of long-running tasks
What GPT-5.6 did across research, audits, a seven-repository migration and one animated pet during my first 48 hours with Codex.
Prompting GPT-5.6 for deeper coding experiments
What changed between two GPT-5.6 coding-experiment batches when I gave depth more room, changed the prompt and added review.
Local coding models on an M4 Pro: why the agent harness mattered
Five 4-bit local models on a 48 GB M4 Pro, tested with file-output contracts, smoke-test repair loops and Pi, then compared with a hosted Codex setup.
Codex turned a biological wheel debate into a live simulation
A Codex-built biological wheel simulation went from a Discord debate to Cloudflare Pages in about ten minutes. A toy model for discussion, not proof.
Capturing ideas in Linear with voice dictation and AI agents
My workflow uses Linear as an idea ledger, Wispr Flow for dictation and agents to turn rough notes into projects and posts.
LLM Choice: using autonomous coding agents to find project ideas
Using autonomous coding-agent runs as a low-cost way to find ideas, learn unfamiliar topics, and seed later projects.