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Introduction

dreeft is an AI workflow board for software delivery. You act as the operator: create cards, move work across columns, review outputs, connect GitHub, manage billing, and invite teammates. The current product ships three live agent stages: Analyst, Architect, and Coder.

What you get

  • A project-scoped Kanban board with live agent columns for Analyst, Architect, and Coder, plus human columns like Backlog and Done.
  • Artifacts on cards: PRDs, ADRs, stack notes, suggested tasks, task specs, PR links, and optional preview artifacts when Docker-backed previews are enabled.
  • Review gates built into card status: agents can pause for wait_for_input or finish in wait_for_review so humans stay in control.
  • GitHub delivery: Coder opens pull requests, and a background poller keeps card status in sync when a PR is merged or closed.
  • Project operations in the app: project switching, invite codes, AI mode selection, token top-ups, and Git settings.
Dreeft Cloud - active product board
Board
Artifacts
Settings
Analyst2
Invite teammates with shareable codes
🔍
Analyst
P0
drafting PRD...
Clarify dreeft AI versus BYOK onboarding
📝
Analyst
P1
Backlog2
Project switcher plus create project modal
📋
Task
P1
Join Project tab for invite redemption
📋
Task
P2
Architect1
Epic implementation from suggested tasks
🏗
Architect
P0
writing ADR...
Coder2
GitHub repo URL, PAT, and default branch
👤
Coder
P0
PR merge poller completes cards
👤
Coder
P1
Done2
Stripe billing portal session
Done
P1
500K starter tokens on dreeft AI
Done
P2
Illustrative board based on the current product flow: Analyst, Backlog, Architect, Coder, and Done. The mockup is visual guidance, not live data.

Who this documentation is for

These docs focus on using dreeft as a product: boards, agents, workflows, integrations, and settings. They assume you have access to the dreeft web app.

Next steps

  • Quick start — sign up, create a project, run your first task.
  • Kanban board — how columns, cards, and movement work.
  • Agents overview — the three live agents, plus notes on the planned QA stage.