Project 04 — Your First Cowork Workspace
Enforces: delegating and supervising a real multi-step task in a Cowork workspace (from introduction-to-claude-cowork) Surface: Claude Cowork · Time: ~50 min · Difficulty: 🟡 core
Why this project
Chat is a conversation; Cowork is a workspace where Claude does multi-step work over files and tools while you supervise. The skill the course is really teaching is supervision — handing off a task, watching each step, and correcting course before a small wrong turn compounds. You only build that muscle by running one real task end to end.
What you'll build
A Cowork workspace that completes one genuine multi-step task (research → draft, or analyze → summarize), plus a short written reflection comparing Cowork to plain chat and to Claude Code.
Steps
- Set up the workspace — open Claude Cowork and create a workspace for one concrete deliverable. Give it a clear name and, if the surface supports it, drop in any reference files the task needs (a brief, a spreadsheet, source notes).
- Pick a genuinely multi-step task — something that needs sequencing, not a one-shot answer. Good candidates:
- Research + draft: research a topic across a few sources, then draft a one-page brief.
- Analyze + summarize: load a data file, find the three biggest trends, write them up for a non-technical reader.
- Write the delegation prompt — state the goal, the constraints, the output format, and explicitly ask Claude to work step by step and check in before big moves. This is the Description skill from p03-ai-fluency-delegation-audit applied to an agentic surface.
- Supervise each step — don't fire and forget. After each step, do one of:
- Approve — the step is right; let it continue.
- Correct — it drifted; say specifically what's wrong and what to do instead.
- Redirect — the approach is wrong; change the plan. Keep a running note of every correction you made — those notes are the evidence you supervised rather than rubber-stamped.
- Verify the deliverable — apply the Diligence checklist: facts sourced, claims checked, output actually usable. Fix what's left yourself.
- Reflect — Cowork vs chat vs Claude Code — write a short comparison: when would you reach for each? Rough guide to react to:
- Chat — single questions, quick drafts, thinking out loud.
- Cowork — multi-step knowledge work over files, where you supervise.
- Claude Code — work in a codebase, where the deliverable is code and the loop is build/test/run.
Acceptance criteria — you're done when
- You created a Cowork workspace scoped to one real deliverable.
- You delegated a genuinely multi-step task (not a one-shot question).
- You supervised each step and logged at least two concrete corrections or approvals.
- You verified the final deliverable against a Diligence checklist and fixed remaining gaps.
- You wrote a Cowork vs chat vs Claude Code comparison with a clear "reach for X when…" for each.
- You journaled what surprised you in learning-journal-template.
Stretch goals
- Re-run the same task in plain chat and note exactly what was harder or worse without the workspace.
- Deliberately let one wrong step slide, then watch how far the error propagates before you catch it.
- Identify one task in your real week that should move to Cowork and one that should stay in chat.
Self-assessment rubric
| Level | Signal |
|---|---|
| 🟢 Got it | You supervise actively, correct early, and can say which surface fits which job. |
| 🟡 Almost | You delegate well but tend to check the result only at the end, not each step. |
| 🔴 Revisit | The workspace felt like chat with extra steps; re-watch introduction-to-claude-cowork. |
See also
- Course: introduction-to-claude-cowork
- Next project: p05-first-api-call
- Deeper: ai-fluency-framework-foundations