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COLVO vs Rulebook

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

COLVO compared with Rulebook
DetailCOLVO logo COLVORulebook logo Rulebook
What it doesTest and guard AI agents with outcome verification, not reply verification Take your AI support bot from 4/10 to 10/10
StageNot given MVP
FoundedNot given 2026
Based inIT Not given
Pricing modelFreemium Free trial
PricingFree: €0/month with 100 test runs per month; Test: €19/month with 2,000 runs per month; Guard: €99/month with unlimited runs plus live guard features. AI usage is metered separately at cost. Free during beta. After beta: $29/month (your own AI keys, unlimited runs) or $59/month (AI included, 50 runs/month).
Key features
  • Isolated sandbox with fresh fake accounts for testing
  • 88 scenario templates for refunds, cancellations, pauses and plan changes
  • CI gate and CLI with dependency-free deployment
  • Policy gate with ALLOW/REVIEW/HOLD/DENY decisions
  • Human approval for risky actions
  • Independent verification of outcome against ground-truth state
  • Guardrails with prompt injection and PII detection
  • Per-end-user spending caps in rolling windows
  • Append-only evidence log with JSON, CSV and PDF export
  • GitHub Action integration for automated testing
  • Bot Score: rates bot performance across five dimensions (rules, facts, solutions, tone, trick resistance)
  • Break my bot: 15 adversarial customer scenarios test for vulnerabilities
  • Fix it for me: automatically rewrites rule sheet and tests against saved situations
  • Train my bot: 30-minute automated training on weak spots with test validation
  • GitHub integration: sends improvements as pull requests for engineer approval
  • Real chat analysis: identifies problems in actual customer conversations with privacy masking
  • Knowledge check: validates bot replies against FAQ and policy documents
  • AI comparison: test bot performance across Claude, ChatGPT, and Gemini with costs and speed
  • Open source engine: public GitHub implementation of scoring and testing algorithms
What makes it different
  • Deterministic verdicts from explicit state checks, not language model decisions
  • No-cost deterministic testing; AI features are optional and separately metered
  • Integrated sandbox testing and production guarding in one platform
  • Idempotent and exactly-once action execution with retry safety
  • Nothing ships without engineer approval: all changes go through GitHub pull request review
  • Privacy by default: customer data anonymized, keys encrypted, uploads not stored
  • Open source testing engine: full algorithm transparency available on GitHub
  • Works with your existing AI: supports Claude, ChatGPT, and Gemini with user's own keys
  • Unified team experience: one plan covers support, product, and engineering roles
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)00
Referring domains (Majestic)00

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