An AI agent is software that takes a goal, uses tools, and works toward a result with limited supervision. That’s it — no mysticism. This hub covers how to build agents that do genuinely useful work, and how to keep them reliable enough to trust with real tasks.
What agents are actually good at today
- Research and monitoring — watching sources, summarizing changes, compiling briefs on a schedule.
- Content operations — drafting, repurposing, formatting, and publishing within defined quality guardrails.
- Business operations — triaging inboxes, preparing reports, updating records, chasing follow-ups.
- Structured production — running multi-step pipelines (script → assets → assembly → publish) with checkpoints.
What they’re not good at (yet)
Open-ended judgment without review, tasks where a single error is expensive, and anything you can’t clearly define success for. Our rule: an agent gets autonomy in proportion to how cheaply its mistakes can be caught.
The architecture that keeps agents reliable
- Deterministic where possible, model-driven where necessary. Fixed steps for anything that shouldn’t vary; the model only decides what genuinely requires judgment.
- Small tools, clear contracts. Agents work best with narrow, well-described tools rather than one giant “do everything” function.
- State outside the agent. Queues, databases, and files hold the truth; the agent reads and writes state rather than “remembering.”
- Checkpoints and guards. Human review at the points where errors are costly; automated guards (validators, sanity checks) everywhere else.
- Model routing. Cheap models for mechanical steps, frontier models for judgment steps — this alone can cut agent costs dramatically.
What you’ll find in this hub
- Agent build guides from single-task agents to multi-agent systems
- Framework and tooling comparisons, tested against real workloads
- Cost-control and reliability patterns from agents we run in production
All agent articles are listed on the Articles page. If you’re brand new, start with the Start Here roadmap.