Not because the model is bad — because it has nothing authoritative to check against. MsgStack is a real knowledge graph of your approved claims, with a lock on the ones that must never be paraphrased, reachable right from Slack, Teams, or any MCP-connected AI tool.
# Canon Domain: Developer Specs ## Entry: API Limits Owner: Engineering Lead Rule: Rate limit cap at 100 req/sec. Status [LOCKED]: "Active on all /v2/ paths." # Canon Domain: Message House ## Entry: Brand Pillars Owner: Product Marketing Rule: "98% of zero-day threats stopped proactively." Status [LOCKED]
Approximate RAG vs. Deterministic Traversal
Standard vector databases approximate answers based on nearest-neighbor semantics. MsgStack structures exact boundaries, guaranteeing that version-locked rules are never paraphrased.
Legacy Vector Approximation
Vector databases convert your PDF policies into float arrays. During a query, an LLM retrieves similar paragraphs and attempts to summarize. Under pressure, the model paraphrases compliance rules, invents pricing metrics, and hallucinated features.
Accuracy: Probabilistic (85% - 95%)
Downstream Drift: High
MsgStack Canon Grounding
MsgStack parses documentation into deterministic adjacency tables. When an agent queries, it retrieves locked claims verbatim. Explicit dependency links ensure that if a root policy is updated, all downstream templates flag for review.
Accuracy: 100% Deterministic
Downstream Drift: Controlled / Versioned
FLAGSHIP DOMAIN SCHEMA
Bring positioning control to GTM AI with Message Houses
The "Message House" is our flagship Canon domain template. Instead of letting sales and marketing assistants prompt LLMs with generic guidelines, MsgStack stores brand claims, value pillars, and audience personas in structured adjacency nodes.
When Claude or Cursor drafts an email sequence or battlecard, it queries the message house schema directly—ensuring all generated materials cite exact, legally approved claims.
↳ Locked Claim: "SOC2 Compliance certified across all European data sectors."
↳ Locked Claim: "Sub-millisecond query verification using local SQLite caching."
Grounding In Action
Interactive Assertion Verification
MsgStack runs a validation engine to check if AI outputs align with approved Canon assertions. Run the grounding checker below to simulate scanning a generated SDR email for ungrounded claims.
Verification Audit
Multilateral Governance
A single control plane across every department
Different departments own distinct domains of the canon. SMEs curate their content; AI clients query it programmatically.
Engineering Specs
Keep developer copilots and support bots aligned with real API specs, compliance constraints, and system limits.
Legal & Compliance
Lock down policy statements, security assertions (SOC2), and disclaimer templates. Prevent AI liability.
Grounding types live
Message House (GTM)
Ground sales emails, social drafts, and GTM assets in approved branding pillars and customer win statistics.
How it works
From typed claims to a grounded answer
Structure
Lock
Ask
Step 01
Canon domains hold typed entries for each department: positioning, API contracts, legal language.
Step 02
Entries marked Tier 1 are reproduced verbatim at generation time, never paraphrased.
Step 03
Query from Slack, Teams, or any MCP-connected tool and get back a grounded draft.
Governed Canon Dashboard
View alignment scores, configure domain schemas, verify graphs, and track drift in GTM/Product documentation.
Admin dashboard — canon domain list
Product previewCanon Domains
Manage Message House, Engineering Spec, and Policy Shield domains in one place.
Graph traversal view
Product previewGrounding & Alignment Metrics
Track downstream drift and verify which facts are locked vs. pending review.
Request Early Access
MsgStack is open source and self-hostable. Join the developer waitlist for early access to updates, new grounding schemas, and MCP tooling.