Apr 13 · 11 min read · Every LLM app starts the same way. The team builds the capabilities, the prompt is good, the agent works, the RAG retrieves the right docs, the demo is clean. Then the team says "OK, ship it." And someone — usually security, sometimes a nervous PM, o...
Join discussionApr 10 · 12 min read · Originally published at Gothar Tech Part of our 2025 software architecture series. Agentic AI in Production: Guardrails, Eval Loops, and the Architecture of Trust Everyone has a demo. Almost nobody has a deployment. The gap between an agentic AI th...
Join discussionMar 31 · 4 min read · The Law of Convergence Allen Hutchison's essay "Building AI Agents: From Simple Scripts to Autonomy" opens with an observation that any developer will recognize: I sat down to write a simple Python script. Two hours later, I was writing a while loop...
Join discussionFeb 26 · 4 min read · The Law of Convergence Allen Hutchison's essay "Building AI Agents: From Simple Scripts to Autonomy" opens with an observation that any developer will recognize: I sat down to write a simple Python script. Two hours later, I was writing a while loop...
Join discussionFeb 20 · 3 min read · Why Your AI Agent Needs a Constitution Author: Paul Desai Date: 2026-02-18T16:30:00+05:30 Tags: ai-governance, agents, safety, guardrails, constitution, architecture, mirrorgate Everyone's building AI agents. Nobody's governing them. Your agent ca...
Join discussionFeb 12 · 2 min read · TL;DR: Autonomous doesn't mean reckless. Build agents that halt when uncertain, not ones that guess and hope. The Confidence Problem Most AI agents have a dangerous trait. They'll attempt anything you ask. Low confidence? They'll try anyway. Missing ...
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