The authoritative truth for your AI workflows.
Don't let your AI assistants improvise. MsgStack structures compliance manuals, API specifications, and brand positioning into a version-controlled, queryable knowledge graph with parent-child sub-canon inheritance and continuous alignment auditing.
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.
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.
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.
INHERITANCE & GOVERNANCE
Scale messaging securely with Sub-Canon Inheritance & Multi-Agent Audits
Define nested divisions or product lines using parent-child hierarchies. Apply selective override or vocabulary constraint inheritance policies to sync brand standards globally while letting local teams customize copy.
When content is drafted, a multi-agent orchestrator runs checks using GovernanceAgent, VoiceAgent, and StructureAgent. They score alignment, scan for hard contradictions, and output clean drift reports.
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
In Practice
Four tool calls. Fully grounded output.
Once connected, your AI assistant queries your canon layer directly. Here's a real session grounding a sales email against the PMM Message House.
Discover
list_canon_domains returns every approved truth framework your team has published — with entry counts and lock status.
Retrieve
search_canon pulls version-locked claims relevant to your task. Exact matches, never paraphrased.
Generate
generate_artifact produces output cited directly against the active domain. Every claim has a source entry.
Audit
score_alignment catches ungrounded claims before they ship — flags anything without a matching locked entry.
Governed Canon Dashboard
View alignment scores, configure domain schemas, verify graphs, and track drift in GTM/Product documentation.
Centralized Canon Domains
Manage specs, policies, and positioning across every department.
Grounding & 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.