Technical write-ups from real engagements: what we shipped, what we learned, and what it took to get the system into production.
The firms that will survive the AI transition aren't the ones deploying fastest — they're the ones deploying with an architecture that respects the specific risk profile of an investment operation. Covering trust boundaries, data governance, and what good AI deployment looks like.
cat entry.log →Lessons from a real client engagement on securing OpenClaw for production — covering the current threat landscape, nine active CVEs, the ClawHavoc supply chain attack, and the ten questions every deployment team should answer before going live.
cat entry.log →A practical guide to writing system prompts for Anam.AI video personas — covering the five building blocks, the counterintuitive trick that makes them feel real, knowledge base setup, and common mistakes to avoid.
cat entry.log →We compared three voice AI platforms — Vapi, Bland.ai, and Retell AI — to build an inbound intake agent that qualifies leads before the first human call. Here's the platform comparison, conversation flow, and implementation roadmap.
cat entry.log →A comprehensive reference cataloging every technical control in the OpenClaw ecosystem — agent firewalls, sandbox isolation, MCP filtering, prompt injection defense, DLP, observability, network segmentation, and compliance tooling across 12 tools.
cat entry.log →