Agenttic
Software for agentic operations.
The open reference for systems that plan, use tools, and act under uncertainty — definitions, architectures, patterns, evaluation, and control.
Foundations
Durable material for agentic software — written to be cited.
A clear definition, scope, and practical criteria.
Core components of production agent systems.
Reusable patterns: ReAct, multi-agent, tool use, and more.
How to measure reliability, cost, and task success.
Controls that keep agents safe in production.
When to use each approach — and when not to.
Architecture
A stack, not a prompt.
Production agents need interfaces, orchestration, memory, tools, models, policy, and observability. The reference names each layer so teams can design boundaries before they ship side effects.
Read the architecture guide
Built for operations
Doctrine for production agents — measurable, constrained, reviewable.
Answer-first writing
Definitions in the opening paragraph. Depth after the claim.
Entity-clear terminology
Stable names for patterns, tools, roles, and failure modes.
Machine-readable surfaces
Schema, sitemap, RSS, and llms.txt as first-class outputs.
Vendor-neutral comparison
Frameworks by operational fit — not launch narrative.
Patterns
Control structures for agent runtimes.
Library
Recent field guides.
Agent Memory Explained
Working memory, thread memory, long-term memory, and RAG—how memory works in agentic systems and how to govern it.
Building Coding Agents: Architecture and Guardrails
How coding agents work: repo tools, planning, tests as rewards, sandboxes, and evaluation for software engineering agents.
How to Choose an Agent Framework
A practical framework selection guide for agentic AI: control model, language, multi-agent needs, ecosystem, and production constraints.
Observability for AI Agents
What to log and monitor in agentic systems: trajectories, tool I/O, costs, outcomes, and replay for debugging.
Common AI Agent Failure Modes
The most frequent ways agents fail in production: loops, tool misuse, hallucinated success, injection, and scope escape—and how to mitigate them.
Start with the definition.
What agentic AI is, what it is not, and when the complexity is justified.
What is agentic AI?