Field guides
How I build, written down.
These field guides distil primary sources and patterns I apply in my own agent tooling into tables, rules of thumb and decision gates. They are maintained in the open at github.com/davidtandoh/playbooks.
- Building AI AgentsA practical, opinionated guide for going from "I want an agent" to a system that ships real output without someone shepherding every step.agentsreact-loopmulti-agentorchestrationRead the field guide
- Building Reliable AgentsEverything between a demo agent and one you'd run in production: observability, token economics, reliability engineering, security, and the blind spots that bite at scale.agentsreliabilityobservabilityevalssecurityRead the field guide