Ideas, guides, and
production lessons.
What we learn building AI agents, RAG systems, and Claude integrations for real clients.
Beyond the Chatbot: Why OpenAI’s New SDK is the End of Toy Agents
OpenAI's latest SDK update introduces sandboxing and standardized harnesses, signaling a shift from experimental scripts to hardened enterprise agentic workflows.
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The Agentic OS: Why Microsoft is Chasing the OpenClaw Ghost
Microsoft's move into local, autonomous agents signals the end of the chatbot era and the beginning of the orchestrator era, where security and local compute are the new battlegrounds.
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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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