Multi-Step Agent Workflows
Design agent-style workflows that plan, act, observe, and revise across multiple steps.
Agents loop through steps
An AI agent workflow usually follows a loop: understand the goal, plan steps, execute one action, check the result, and continue or stop. You are designing that loop, even if the tool runs it automatically.
Break tasks into observable steps
Each step should produce something you can inspect: a search query, a draft outline, a table of options, or a test result. If a step cannot be checked, the agent can drift.
Human checkpoints matter
Insert approval gates before external actions: sending email, posting content, spending money, or deleting files. Advanced workflows are powerful because they are controlled, not because they are autonomous.
Example
Launch checklist agent
Launch my app next week.
Goal: soft-launch a study app landing page. Step 1: list prerequisites. Step 2: draft task board by day. Step 3: identify blockers. Step 4: stop and ask me to approve before any publish action.
Takeaway The agent plan defines inspectable steps and an explicit human approval gate.
Mini challenge
Sketch an agent loop
Sample answer: Research competitors → comparison table → draft positioning → pause for my approval → rewrite hero copy.
Open this mission in the Kiwippy app to mark it complete and track progress.