Architecture

How CINTENT is actually built.

Written for engineers evaluating the platform, not for a pitch deck. Real layers, real API surface, real deployment options — no invented model architecture or unverified benchmark comparisons.

The lifecycle

Intent → Context → Reason → Decide → Act → Learn → Refined Intent Understanding.

Seven stages, one closed loop. Each stage maps to a real part of the API surface below — this isn't a marketing diagram, it's how a request is actually processed.

Intent

Resolve what the user or system is actually trying to accomplish, before anything else runs.

/intent

Context

Assemble the current world state — actors, constraints, recent events, live signals.

/context

Reason

Produce an explainable decision trace grounded in active memory and current signals, not a static prompt.

/reason

Decide

Arbitrate goals, constraints, confidence, and control policy into a ranked, structured recommendation.

Act

Execute workflows, commands, or physical actions through orchestration, with monitored feedback and provenance.

/orchestrate

Learn

Improve from outcomes and feedback while preserving a full, auditable trace of why each decision was made.

/govern

Refined Intent Understanding

Outcomes feed back into how the next Intent is understood — the loop closes rather than resetting to zero.

Four inspectable layers

Perception, cognition, decision, and action — kept separate on purpose.

Signal flow moves inward through cognition, then back outward into controlled action. Layer boundaries stay inspectable for debugging, governance, and operational review.

Perception Layer

Normalizes signals from sensors, interfaces, text, image and telemetry streams into a shared representation.

Cognitive Layer

Builds internal context and task-specific reasoning traces instead of answering each query in isolation.

Decision Layer

Arbitrates goals, constraints, confidence and control policies into a ranked, structured recommendation.

Action Layer

Executes workflows, commands or physical actions, with monitored feedback and full provenance.

API surface

Six endpoints. One reasoning pipeline.

/intent

Resolve the user's real ask.

/context

Assemble the world state.

/memory

Shared, persistent spine across products, not per-app silos.

/reason

Explainable decision trace.

/orchestrate

Multi-agent workflows.

/govern

Policy, audit, guardrails.

Deployment surfaces

Edge, cloud, hybrid, or embedded — your call.

Edge

Run local fusion, memory and action policies near devices and operators.

Cloud

Use centralized supervision for analytics, fleet learning and large-scale orchestration.

Hybrid

Split cognition between local control and remote strategic oversight.

Embedded

Integrate lightweight cognitive loops into constrained hardware for motion-critical systems.

Want the full platform picture?

See capabilities and deployment options on the platform page, or get API access.

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