Running Whiteboard as a service, AI Code Tools

Whiteboard Agency Implementation, AI Code Review at Scale

Learn how to deliver AI-assisted code review as a productized service using Whiteboard's architecture diagrams and semantic diffs. This course teaches agencies how to set up client workflows, audit agent trajectories for quality assurance, and build retainer packages around faster code review cycles and agent verification.

Open the decision record for Whiteboard

What does running Whiteboard for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Whiteboard is open-source (MIT) with no published pricing tiers, so there is no vendor license cost to model. The investment is engineering setup and review time; contact the vendor or review the repository for any hosted team version costs, which are listed as coming soon.
Time to first value
Not published
Payback
Not modeled
Guided implementation
8 hours

Is Whiteboard worth running as a client service?

Evidence supports Whiteboard as a viable managed review service for engineering-heavy agencies that ship AI-generated code, because its architecture diagrams, semantic AST diffs, and agent trajectory audits address a real review bottleneck. What remains unknown is host cost, team-version pricing (listed as coming soon), and any client price, labor rate, or volume assumptions needed for an ROI model.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • Whiteboard desktop IDE (open-source, macOS or Linux)
  • GitHub repository access for client pull requests
  • Claude Code sessions or Codex sessions to audit as agent trajectories
  • A code repository containing AI-generated diffs to test against
  • Plugin tooling if you intend to extend the diffing and review experience

People and inputs

  • An engineer who can interpret sequence diagrams, DB diagrams, and AST-based semantic diffs
  • A documented review checklist mapping change types to Whiteboard features
  • A time-tracking method for per-review hours (Whiteboard has no agency dashboard)
  • A governance note stating that the Whiteboard brand remains visible to clients

Included with the course

7 working documents for delivering this service.

  • Whiteboard Client Onboarding Checklistchecklist
  • AI Agent Trajectory Audit SOPsop
  • Code Review Retainer Pricing Templatetemplate
  • Architecture Diagram Review Workflowguide
  • GitHub Integration Setup Worksheetworksheet
  • Agent Decision Verification Checklistchecklist
  • Pull Request Comment Linkage SOPsop

Listed by name. These documents are not yet published as individual downloads.