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Dock vs Rulebook

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

Dock compared with Rulebook
DetailDock logo DockRulebook logo Rulebook
What it doesOne-click molecular docking with AutoDock Vina in your browser Take your AI support bot from 4/10 to 10/10
StageNot given MVP
FoundedNot given 2026
Based inNot given Not given
Pricing modelNot given Free trial
PricingNot given Free during beta. After beta: $29/month (your own AI keys, unlimited runs) or $59/month (AI included, 50 runs/month).
Key features
  • Automated receptor and ligand preparation via Meeko
  • Batch screening up to 300 ligands per job
  • Publication-ready PDF reports with embedded figures
  • 2D and 3D interaction diagrams with PLIP
  • PoseBusters automated pose quality validation
  • ADMET analysis including Lipinski, Veber, and QED
  • Custom docking box definition with 3D visualization
  • Co-crystal redock validation against crystal poses
  • Interactive 3D viewer for pose inspection
  • Optional PyMOL publication-quality binding site rendering
  • 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
  • No software installation or local computing required
  • Fully reproducible, documented pipeline with exact software versions recorded per job
  • Automated Methods text and citations ready for manuscript submission
  • Batch parallel docking with per-ligand failure tolerance
  • Secure cloud processing with immediate data deletion after job completion
  • 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)3 −1 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)170
Referring domains (Majestic)90

3 details filled in for both companies.

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