Governed Intelligence Containers

CogniMaps

Air-gap-portable, model-agnostic containers of structured intent and intelligence. Not just JSON, a prompt, a graph, or a document — those are projections. The CogniMap preserves the shape of a knowledge object across models, tools, and offline environments.

"A CogniMap may carry its own mirror, but not its own crown."

What a CogniMap Is

Not a prompt. Not a dataset. Not a fine-tune. A CogniMap is an air-gap-portable, model-agnostic container of structured intent and intelligence. It preserves the shape of a knowledge object: intent, topology, evidence, uncertainty, failure paths, boundaries, and next moves — so it can be loaded into different models, tools, or offline environments without depending on one model's hidden memory.

A CogniMap declares what it is trying to be, names what it is not, preserves the failures that shaped it under review, and travels across sessions as a durable reasoning structure. It does not guarantee truth. It makes the domain's structure, uncertainty, and allowed paths explicit.

Why Structure Matters

The artifact does the work the model can't be trusted to do alone.

• Better model behavior — The domain is pre-structured before the model sees it. Constraint topology replaces runtime improvisation.
• Better review — Evidence, uncertainty, and failure paths are visible — not buried in a model's weights or lost between sessions.
• Better portability — The artifact survives across sessions, providers, and tools. No dependency on one model's hidden memory.
• Better governance — Action and claims remain bounded. The CogniMap declares its limits and carries the failure topology that shaped it.

What CogniMaps Can Do

• Domain Research Concierge — Structured research interfaces for complex domains. Live example: the Polymarket CogniMap powering Neta.
• Field Expert Personas — Operational personas deployable across LLM sessions with encoded domain expertise and operational constraints.
• Adversarial Review Protocols — Governance artifacts defining reviewer roles, attack vectors, failure dispositions, and reconciliation procedures.
• Authorization and Identity Primitives — Micro-CogniMaps bounding authorization, identity verification, escalation, and self-modification.
• Substrate Governance — Infrastructure-level CogniMaps defining standards other CogniMaps must follow.
• Verifiable Assurance Artifacts — CogniMaps that structure claims, evidence, counterevidence, uncertainty, and confidence.
• Competitive Intelligence Maps — Structured analyses of market positioning and strategic landscape produced through governed compilation.

How CogniMaps Are Compiled

CogniMaps are not simply written; they are compiled. The compilation process uses frontier LLMs as cognitive tools while the human author supplies intent and adjudicates the final shape.

1. Intent declaration — The author states what the artifact is trying to become.
2. Adversarial review — Independent reviewers attack the proposed structure for vulnerabilities, overclaims, missing evidence, and weak boundaries.
3. Failure metabolism — Critical findings receive explicit disposition: patched, rejected with rationale, accepted as bounded residual risk, forbidden from reintroduction, captured as a byproduct, escalated, or held for evidence.
4. Reconciliation — Review findings are synthesized into versioned patches with preserved lineage.
5. Promotion — Only after review does a CogniMap move toward semantic lock.

Live Now: Neta — Polymarket Research Concierge

The first publicly accessible CogniMap. Neta is a Polymarket research concierge powered by Gemini 2.5 Flash and shaped by a detailed Polymarket-domain reasoning layer.

Five Research Modes

• Market Explainer — Explain a market, event structure, or resolution mechanic in plain terms.
• Research Guide — Frame hypotheses, design research questions, plan quantitative tests.
• Risk Auditor — Surface resolution ambiguity, source fragility, and liquidity risk.
• System Designer — Build research pipelines and simulation components.
• Arbitration Assistant — Compare resolution interpretations, find conservative defensible paths.

The Standard

CogniMaps are governed by the emerging Higgs CogniMap Standard: a substrate-level specification for intent declaration, bounded self-reference, failure topology, byproduct promotion, assurance structure, and adversarial review. The standard is under active development and review.

"A CogniMap may carry its own mirror, but not its own crown."

Talk to Higgs AI →