Published: 2026-04-21

OpenClaw Full Tutorial: Set Up Your First AI Employee

Alex Finn walks through OpenClaw from scratch — installation, API key configuration, tool connections, and writing the system prompt that defines your agent's role. The framing of "AI employee" is intentional: OpenClaw works best when given a specific job title, a defined set of tools, and clear boundaries, exactly like onboarding a new hire. Follow this tutorial and you'll have a working agent completing real tasks within an hour.

Source video

"OpenClaw Full Tutorial: Set up your first AI employee!" by Alex FinnWatch on YouTube →

Key Takeaways

  • OpenClaw needs three things to work effectively: a good model (Claude Sonnet or Opus), at least one tool (web search, file access, or an API connector), and a well-written system prompt defining the agent's role.
  • Write your system prompt as a job description. Include: what the agent is responsible for, what it should never do, the tone it should use, and how it should handle ambiguous requests.
  • Start with one workflow, not ten. Pick the single most repetitive task you do every day. Get the agent working reliably on that before expanding.
  • OpenClaw's memory works in sessions by default. For persistent memory across days, install a memory skill or configure a notes file the agent reads and writes each session.
  • Tools are additive — each one you connect expands what the agent can do. But don't add tools you don't intend to use; unnecessary tool access slows response time and increases the chance of hallucinated tool calls.
  • If the agent makes a mistake, correct it in plain language in the chat rather than editing the system prompt first. Only update the system prompt once you've seen a mistake repeat across multiple sessions.

Recommended First Workflow

Alex Finn recommends starting with a daily briefing agent: give it access to your calendar, a news search tool, and your to-do list, then instruct it to produce a morning summary at 8am. It's simple enough to get working in one session but genuinely useful — you'll immediately see whether the agent is performing well or needs refinement.

Once that's running reliably, add a second job: email triage, meeting notes, or end-of-day reporting. Build incrementally rather than trying to build a fully automated team on day one.

Related on OpenClawDatabase

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