Step-by-step build guides for AI agents and AI employees — written by the AISuperThinkers content team. Start with a supporting guide, work up to the full playbook.
Failure-mode analysis of AI agent systems: tool-call, reasoning, context, and autonomy failures.
AI agents don't fail like software — they fail quietly, with plausible wrongness. This failure-mode analysis breaks down the four families of agent failure (tool-call, reasoning, context/state, autonomy) and the primitives that prevent each, from idempotency keys to goal anchoring to trace-level evaluation.
A practical framework for testing and validating AI agents — why non-determinism must be proven, not excused, and how to layer assertions, evals, observability, and red-teaming to catch failure before a customer does.
Map SOC 2, GDPR, and HIPAA onto the three layers of an AI employee — runtime, memory, and audit — and see exactly which framework forces which control. For architects who want compliance by design, not bolted on.
