Automation & Agentic Workflows
My Personal AI Agent Became My Development Harness
I used a personal agent for errands, then shipped code with it from WhatsApp. What changed was not the tool. It was what I asked it to do.
Technical deep-dives, architecture blueprints, and benchmarks for enterprise agentic AI.
Automation & Agentic Workflows
I used a personal agent for errands, then shipped code with it from WhatsApp. What changed was not the tool. It was what I asked it to do.
Security & Governance
One assistant for work and life leaks. Two disconnected ones underperform. A scoped bridge between them is the fix worth building.
Memory & Company Brain
My approach to shared AI memory: separate private context, team decisions and live facts, then choose tools that make mistakes easier to correct.
Security & Governance
Connect human review to the exact action an agent executes. Test approval binding, then design the interface for attention rather than rubber-stamping.
AI-First Operations
A practical transition plan for existing companies: redesign roles, train managers and employees, choose an org chart, and make hiring and redeployment calls.
AI-First Operations
AI workslop passes the cost of unfinished work to the next person. Give teams end-to-end ownership and managers enforceable standards to stop it.
AI-First Operations
Electricity took 40 years to pay off in factories. The gain came from redesign, not new motors, and safety came from standards. The same map fits AI.
Security & Governance
Validate declared authorization phases and detect audit-log tampering with a runnable hash-chain checker.
Observability & Evaluations
Audit coding-agent benchmarks for private tasks, repeat runs, harness controls, exploits, and cost per solved task.
Cost, Latency & Model Routing
A practical map of Jev for AI agents: routing, risk gates, verification, business benefits, limits, and a test plan for safer decisions.
AI-First Operations
A five-test decision matrix for choosing one agent, a router, a supervisor, handoffs, or parallel workers without paying for needless complexity.
Cost, Latency & Model Routing
A T5 how-to for tracking agent cost by completed outcome, not by token spend alone. Three layers: unit gate, transcript metric, outcome contract.
Observability & Evaluations
Five patterns for scoring agent quality: deterministic gates, LLM rubric, static analysis, state checks, transcript metrics. The framework, not review tools.
Memory & Company Brain
A governed memory layer that gives agents the right context with permissions and freshness. More than RAG, less than a full rebuild.
Platforms, Tools & Reviews
A practical guide to evaluating MCP gateways (Kong, Envoy, APISIX): a 5-point rubric covering enterprise fit, integration, reliability, cost, docs.
Memory & Company Brain
Three ways to give your company a brain - what each one costs to run, what it remembers, and which to start with.
Security & Governance
Permission-aware RAG enforces access control inside retrieval. Three enforcement patterns, the metadata model, and the failure modes to test.
Agent Protocols & Interoperability
MCP server architecture for enterprises: five layers, the 2026-07-28 authorization spec, and the attacks each layer has to stop.