Pick one workflow
Do not test every video problem at once. Select one representative question and one safe source.
Use cases
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.
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.
Read-only agent memory over scene state and evidence, without camera authority.
Open →Use caseBounded windows from continuous video with timeline and cost reports.
Open →Use caseEvidence-first review workflows with human gates for high-risk outcomes.
Open →Use caseLong-footage indexing, segment search, timestamp extraction, and reuse.
Open →Use caseEmbed video intelligence into SaaS products with REST and artifacts.
Open →| Use case | Primary artifact | Buyer question | Safety boundary |
|---|---|---|---|
| Video agents | scene_graph.json + evidence_bundle.json | Can agents answer from reusable video memory? | Read-only tools before action |
| Live streams | timeline.json + cost.json | Can we process bounded windows instead of endless streams? | No unbounded capture jobs |
| Security review | evidence_bundle.json + detector_report.json | Can reviewers find events with evidence? | No identity or access-control automation |
| Media operations | timeline.json + scene_graph.json | Can editors locate segments faster? | Human editorial confirmation |
| Developer platforms | API + artifacts + billing state | Can this embed into a SaaS product? | Tenant, limits, and review gates |
Do not test every video problem at once. Select one representative question and one safe source.
Run bounded processing and inspect scene_graph.json, timeline.json, evidence_bundle.json, and cost.json.
Compare answers with cited time spans and decide whether the workload needs human escalation.