4 posts
Tool calls, visitor memory, real-time analytics, an LLM eval harness, and full-duplex voice — wired into a Next.js portfolio over six sessions. The decisions, the wrong turns, and the bugs that took longer to find than to fix.
Llama 70B, Flux image generation, Kokoro TTS, Whisper STT — all running locally on an M1 Max with 64GB unified memory. The practical setup, benchmarks, and honest assessment of what's ready and what isn't.
What 'vibe coding' actually means in practice — my AI toolkit, when it helps, when it hurts, and the meta angle of building this portfolio with Claude.
Building custom Model Context Protocol servers for semantic code search, automated workflows, and integrating AI into daily development.
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