> For the complete documentation index, see [llms.txt](https://docs.mediafier.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mediafier.ai/platform/content-intelligence.md). # Content Intelligence Governed AI capability families that turn raw media into structured, searchable, rights-aware context. > **Governed AI capability families that turn raw media into structured, agent-addressable context.** Each one ships as a governed tool reachable from any agent platform via CLI or MCP, metered through the gateway, traced end-to-end. **Results land back in the Media Library** with full provenance, so the next agent (and the next run) reasons against the enriched representation rather than re-deriving it. The Content Intelligence layer is what makes media operationally addressable. It runs on top of the Media Library and writes structured results back into the bundle / version / provenance graph that the rest of the platform reasons against. *** ## The capability families | Capability | What it does | When agents use it | | ------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- | | **Transcription & Captions** | Turns audio into time-coded transcript and styled captions. | Whenever an agent needs spoken-word context — search, redaction, accessibility, derivative cuts. | | **Scene & Chapter Segmentation** | Detects scene boundaries and chapter markers; surfaces structural metadata. | Editorial breakdowns, derivative-asset planning, smart navigation. | | **Brand Safety Classification** | Classifies content against advertiser-relevant brand safety dimensions; produces structured advisories with confidence scores. | Advertising eligibility decisions, content-warning surfacing, vertical-specific safety policies. | | **Entity Extraction** | Identifies named entities — people, places, organizations, products — across spoken and on-screen content; resolves them to canonical references. | Search, rights checking, cross-reference enrichment, knowledge-graph population. | | **Voice Synthesis** *(consent-bound)* | Generates synthetic voiceover from text against rights-and-consent-bound persona libraries. Every generated clip is labeled in the Provenance Passport with the source persona and the consent record that authorized it. | ADR-style fills, multilingual narration, dynamic voice generation — always against consent-bound personas. | | **Creative Ingest** | Walks an unknown input asset through the pipeline — probes, classifies, segments, and lands a structured representation back in the Media Library. | First-touch onboarding for new assets when the operator has no prior structure to bind to. | Each capability is callable independently. Each one composes with the others. A typical onboarding run might fire Creative Ingest, which in turn calls Transcription & Captions, Scene & Chapter Segmentation, Brand Safety Classification, and Entity Extraction in a single governed flow. *** ## How the capabilities are governed Every Content Intelligence call is a tool call through the gateway. That means: * **Identity-bound**. The platform knows which principal asked for the enrichment. * **Org-scoped**. Results land in the requesting organization's Media Library; cross-tenant access is not possible. * **Metered**. Each invocation is billed against the organization's credit ledger. * **Audited**. Every call produces an immutable audit row and a trace ID. * **Schema-validated**. Inputs are validated before the runtime sees them; malformed requests fail with a structured envelope. There is no "internal call" path. The same enforcement chain applies whether a human invoked the capability through Pippa, an agent invoked it through MCP, or a MediaClaw composed it inside a multi-step run. *** ## Where the results go Content Intelligence does not produce ephemeral output. Each capability writes structured results back into the Media Library — at the appropriate bundle, version, or file boundary — so that later agents (and later runs) can reason against the enriched representation. Specifically: * **Transcription & Captions** writes time-coded transcript artifacts and rendered caption tracks. * **Scene & Chapter Segmentation** writes segment markers that other tools and the MEDIA.md composer pick up. * **Brand Safety Classification** writes scored advisories at the bundle and segment level. All scores carry an explicit confidence; scores are advisory until calibrated against an organization's policy. * **Entity Extraction** writes resolved entity references back into the asset's metadata graph for search and cross-reference. * **Voice Synthesis** lands generated audio as a new file under the current version, with full provenance recorded. * **Creative Ingest** orchestrates the whole walkthrough and lands a populated bundle / version / files structure on first touch. Every write is logged in the asset's Provenance Passport. *** ## What you commit to when you turn this on * **Per-call billing.** Content Intelligence work is not free. Operators size their credit budget against expected enrichment volume. * **Provenance records every step.** AI-generated and AI-derived content is labeled in the Provenance Passport with the source capability and the model class used. This is not optional. * **Brand-safety scores are advisory.** They are signals for human policy, not autonomous gates. Operators decide how strict to be. *** ## Where to go next | If you're… | Read next | | ----------------------------------------------------------- | ----------------------------------------------------------------------------------- | | Looking for the Media Library these capabilities write into | [Media Library](/platform/media-library.md) | | Building a MediaClaw that composes intelligence calls | [MediaClaw Super-Agents](/platform/mediaclaw-super-agents.md) | | Studying decision memory and the learning loop | [Decision Tracing & Learning Loop](/platform/decision-tracing-and-learning-loop.md) | | Connecting from your own harness | [MCP Access](/connect/mcp-access.md) |