From first draft to production

Your AI agent
does the whole job now

DeepWork transforms Claude Code into multi-step workflows with quality gates, self-critique, and learning. Stop steering. Start shipping.

$ deepwork run analyze-competitors
--- step 1/4: research ---
Found 12 competitors across 3 categories
--- step 2/4: validate ---
Self-critique: 2 entries lacked pricing data. Re-running.
--- step 3/4: synthesize ---
Generated competitive matrix with positioning gaps
--- step 4/4: quality gate ---
Score: 94/100. Passed. Output saved.

$ deepwork learn "include market size estimates"
Feedback saved. Future runs will include market sizing.
How it works

Three primitives.
Infinite workflows.

DeepWork adds structure to autonomy. Define the steps, set the quality bar, and let the agent iterate until it gets there.

01 / Define

Multi-step jobs

Break complex work into stages with quality gates at each checkpoint. The agent executes sequentially, validating before moving forward.

02 / Critique

Self-correction

Each step includes a critique pass. The agent reviews its own output, catches errors, and re-runs until the quality bar is met.

03 / Learn

Feedback loops

When you give feedback, DeepWork remembers. Every future run incorporates what you taught it. The system gets better the more you use it.

The difference

Raw agent vs. DeepWork

Claude Code is powerful. But power without structure produces first drafts, not finished work.

Without DeepWork

  • Single-pass output, hope it's good
  • Manual review and re-prompting
  • Context lost between sessions
  • Same mistakes, every time
  • You steer, the agent types

With DeepWork

  • Multi-step with quality checkpoints
  • Self-critique catches errors automatically
  • Chainable jobs preserve full context
  • Learn function eliminates repeat mistakes
  • You set direction, the agent delivers
The bigger picture

Agents should finish
what they start

We're moving from a world where AI produces drafts to one where AI delivers finished work. DeepWork is the bridge. Open source, CLI-native, built for developers who refuse to accept "good enough" from their tools.