Ideas, guides, and
production lessons.
What we learn building AI agents, RAG systems, and Claude integrations for real clients.
Split-Flap Display: A Real-Time Airport Board for Your Terminal
We built an open source split-flap display simulator that runs in the browser. Push messages via API and watch them flip into place with mechanical sound effects — perfect for monitoring Claude Code sessions in real time.
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Digital Workers: Scale Your Team Without Hiring
AI workers handle tickets, process invoices, and moderate content 24/7 at a fraction of the cost. How to scale your team without the bottleneck of recruiting.
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RAG vs fine-tuning: when to use each approach
Should you use RAG or fine-tune a model on your data? A practical decision framework covering cost, speed, accuracy, and when to combine both.
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Build vs buy AI agents: a decision framework for CTOs
Should you build AI agents in-house or hire a consultancy? An honest framework covering timeline, cost, risk, and when to use a hybrid approach.
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Claude vs GPT-5.4 for enterprise: a practical comparison
A deep-dive comparison of Claude (Opus 4.6, Sonnet 4.6, Haiku 4.5) vs GPT-5.4 (Pro, mini, nano) for enterprise AI. Model tiers, context windows, tool use, structured outputs, extended thinking, pricing, and when to use which.
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95K impressions: what happened when I showed a voice-controlled Mac agent on LinkedIn
A LinkedIn post showing Gemini Mac Pilot went viral. Why controlling your Mac by voice resonated with 95K people — and what it means for desktop AI.
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