GPT-5.6 needed a more ambitious prompt
The first GPT-5.6 LLM Choice batch was polished but shallow. A prompt built around ambition and depth produced much stronger artefacts.
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Posts tagged llm-agents on billiem.
The first GPT-5.6 LLM Choice batch was polished but shallow. A prompt built around ambition and depth produced much stronger artefacts.
A local LLM Choice experiment showed how harnesses, repair loops, tools, and model strength changed coding-agent results.
A Discord argument about biological wheels became a deployed Cloudflare Pages simulation in about ten minutes.
A low-friction Linear idea ledger works for me because voice and agents made capture and retrieval cheap enough to happen.
Using autonomous coding-agent runs as a low-cost way to find ideas, learn unfamiliar topics, and seed later projects.