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https://bit.ly/4qIYtiX Zapier is a no-code automation tool that empowers you to automate your work across 5000+ apps—so you ...

How to deploy an AI agent to production: who supplies the harness, and who supplies the hosting? The two questions most teams ...

Turn 20 real agent failures into your first usable evaluation set. This walkthrough covers documenting what failed, preserving the ...

Why do AI agents fail? The 4 failure modes - wrong tool, bad arguments, never stops, swallowed errors - and how to fix each.

What is MCP (Model Context Protocol)? How an AI agent connects to tools on someone else's MCP server - and why the loop ...

Build your own MCP server and publish your tools for any AI agent - and why your tool descriptions matter even more there.

Should this be an AI agent or a simple workflow? A 4-question checklist to decide before you build - and avoid costly mistakes.

Why do long-running AI agents get slower, costlier and less accurate? The context window problem - measured on real token ...

Cut AI agent cost and latency: agents multiply every waste by the number of turns. Caching, trimming context and tool lists ...

How to debug an AI agent: read the trace turn by turn and find the first wrong decision - not the last error. Lesson 7 of 27 in our free ...

Single LLM call vs workflow vs AI agent - what's the real difference? One simple rule: who decides the next step. Lesson 3 of 27 in ...

Is your AI agent choosing the wrong tool? Overlapping tool descriptions make the model guess. Here's how to fix tool selection.

Learn how to build a scheduled Superhuman Go Agent that automatically creates your daily briefing every morning before you ...

How to evaluate an AI agent: grade the whole run - did it finish, in how many turns, with which tools. Path-aware evals, on a real ...

When is a multi-agent system worth it? The orchestrator-worker pattern explained - multi-agent is context management, not org ...

Speed up your AI agent with parallel tool calls: run independent tools in one turn and return all results in one message. Lesson 11 ...

Stop hand-writing the agent loop: what an agent harness / tool runner does for you, what stays yours (hooks) - and why it's not ...

AI agent error handling done right: return errors as tool results with is_error, and give your agent an error policy. 429 is not 400.

LLM model routing: match the model to the job - strongest for judgement, fast for bulk - and the hidden prompt-cache cost of a ...

Control how hard the model thinks and cap what an agent run can spend: extended thinking, effort levels and token budgets ...