AI & Agents
AI Record API: Structured Outputs and Evidence
Give model jobs, source evidence, output validation, and human approval their own identities and clear lifecycle states.
Read guide →🧠 CONTEXT / VALIDATION / EVIDENCE
AI, MCP & LLM Records.
Give model output an evidence trail.
Separate the job, its attempts, the context supplied to a model, and the result the application accepts. These guides connect structured outputs and MCP exchanges to explicit permissions, source revisions, and review.
Record the actual input set
A model cannot rely on a resource merely because it exists somewhere in a workspace. Distinguish available, retrieved, and supplied context. Keep source references protected and identify the representation actually sent to the model.
Validate structure and meaning separately
A response can have valid structure while containing unsupported claims. Design checks for evidence references, current authorization, and the review needed before the result is used. Preserve unknown values when the source is incomplete.
Keep protocol and persistence distinct
MCP defines interactions across host, client, and server boundaries. Your application still needs a deliberate persistence and memory model. The combined MCP and LLM guide explains connection records, tools, context preparation, and controlled reuse.
Read the complete guides.
AI & Agents
MCP + LLM Record API: Context, Tools, and Memory
Distinguish available resources, supplied context, proposed tools, authorized actions, and the response a person actually receives.
Read guide →
AI & Agents
AI Video Record API: Generation and Asset Lineage
Keep captured, generated, and edited video identifiable through processing attempts, timeline changes, review, and export.
Read guide →
AI & Agents
AI Audio Record API: Transcription You Can Review
Preserve original sound while making transcripts, summaries, speaker labels, and generated speech inspectable and correctable.
Read guide →Questions, answered.
Does valid JSON establish that a result is correct?
No. It establishes only that the selected structural checks passed. Source support, authorization, and approval are separate.
Does MCP automatically provide permanent memory?
No. Plan persistence, retention, and later retrieval as application requirements rather than assuming a protocol connection provides them.