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Use cases

Choose a workflow, not a generic computer-vision promise.

Ayneye use cases are organized around operational workflows: video agents, live streams, security review, media operations, and developer platforms. Each path explains the artifact bundle, safety boundary, evaluation checklist, and signup flow.

Use-case operating model

Every use case follows the same beta sequence: define one safe workflow, process one representative video or bounded stream window, inspect artifacts, ask evidence-grounded questions, review limits and cost, then decide whether to expand capacity.

Evaluation matrix

Use casePrimary artifactBuyer questionSafety boundary
Video agentsscene_graph.json + evidence_bundle.jsonCan agents answer from reusable video memory?Read-only tools before action
Live streamstimeline.json + cost.jsonCan we process bounded windows instead of endless streams?No unbounded capture jobs
Security reviewevidence_bundle.json + detector_report.jsonCan reviewers find events with evidence?No identity or access-control automation
Media operationstimeline.json + scene_graph.jsonCan editors locate segments faster?Human editorial confirmation
Developer platformsAPI + artifacts + billing stateCan this embed into a SaaS product?Tenant, limits, and review gates

How to start

1

Pick one workflow

Do not test every video problem at once. Select one representative question and one safe source.

2

Generate artifacts

Run bounded processing and inspect scene_graph.json, timeline.json, evidence_bundle.json, and cost.json.

3

Review evidence

Compare answers with cited time spans and decide whether the workload needs human escalation.