Operating brief
Data, Quality & Compliance
Move issues beyond dashboards into investigation, ownership, and improvement.
Connect data integration, quality checks, issue localization, human decisions, reports, and action.
Checks and decisions
Quality matrix
Data foundations, automated checks, human decisions, and improvement actions remain distinct in one matrix.
Data foundation
- 01
Collect
Connect APIs, business stores, media, events, and manual records.
- 02
Normalize
Normalize fields, time, identity, provenance, and versions.
Quality check
- 03
Validate
Check completeness, range, duplication, authenticity, and format.
- 04
Detect
Detect risk and change with baselines, policies, and models.
Investigation
- 05
Investigate
Trace back to original records, timestamps, versions, and related objects.
- 06
Decide
Let owners approve, revise, block, or grant an exception.
Report and improve
- 07
Report and act
Create reports, tasks, alerts, and audit evidence.
- 08
Improve
Use issues and outcomes to update rules, workflows, and quality baselines.
Operating chain
How the system operates, step by step
The sequence reflects real ownership and state changes; responsive layout changes presentation, not execution order.
- 01
Collect
Connect APIs, business stores, media, events, and manual records.
- 02
Normalize
Normalize fields, time, identity, provenance, and versions.
- 03
Validate
Check completeness, range, duplication, authenticity, and format.
- 04
Detect
Detect risk and change with baselines, policies, and models.
- 05
Investigate
Trace back to original records, timestamps, versions, and related objects.
- 06
Decide
Let owners approve, revise, block, or grant an exception.
- 07
Report and act
Create reports, tasks, alerts, and audit evidence.
- 08
Improve
Use issues and outcomes to update rules, workflows, and quality baselines.
System modules
Composable delivery modules
Every module links to its public library record with inspectable inputs, outputs, and readiness.
- 01Deployable
Decision dashboards
Move from metrics and anomalies to causes, ownership, and next actions.
- Input
- Business events, metric definitions, baselines, and owners
- Output
- Layered metrics, anomalies, explanations, and action queues
- 02Deployable
Product and privacy analytics
Measure visits, conversion, and product behavior within explicit data boundaries.
- Input
- Event plans, consent policy, and business goals
- Output
- Funnels, paths, conversion, and retention observations
- 03Live
Usage and cost
Bring requests, tokens, cost, and anomalies into one operating view.
- Input
- Invocation logs, pricing, and organization dimensions
- Output
- Usage detail, budget alerts, and cost attribution
- 04Validated
Market research
Turn public pages, reports, and business questions into traceable research.
- Input
- Research questions, source scope, and evidence standards
- Output
- Source snapshots, research briefs, and opportunity judgments
- 05Deployable
Trend and competitor monitoring
Continuously collect external signals while separating platform trends from competitor activity.
- Input
- Watchlists, platforms, keywords, and cadence
- Output
- Signal snapshots, change reports, and action recommendations
- 06Validated
Quality routing
Route requests using model quality, capacity, latency, and cost.
- Input
- Quality reports, capacity snapshots, and routing policy
- Output
- Candidate ranking, fallback, circuit breaking, and decision records
- 07Validated
Rendering and media QA
Render deterministically and inspect integrity, loudness, black frames, and freeze frames.
- Input
- Approved shots, audio, captions, templates, and output specs
- Output
- MP4, captions, manifest, and QA report
- 08Validated
Compliance review
Locate risky segments, compare versions, and retain human decisions against policy.
- Input
- Video, transcript, industry policy, and versions
- Output
- Timestamped issues, revision guidance, approval, and reports
- 09Validated
Evidence ledger
Bind content claims to company material, sources, and review decisions.
- Input
- Claims, sources, versions, and risk policy
- Output
- Citable evidence, conflicts, and approval state
- 10Validated
Human approval
Bind high-value decisions to exact candidates, versions, and content hashes.
- Input
- Candidate artifacts, review policy, and decision owners
- Output
- Approvals, rejections, feedback, and audit records
- 11Live
Internal tools and admin
Give operators interfaces built around real states and permissions.
- Input
- Business objects, roles, actions, and system APIs
- Output
- Admin consoles, workspaces, queues, and audit entry points
- 12Deployable
Orders, inventory, and tickets
Place transaction and service objects inside traceable state machines.
- Input
- Catalog, inventory, orders, issues, and fulfillment rules
- Output
- States, assignments, exceptions, and fulfillment records
- 13Deployable
Commerce and service operations
Connect catalog, payment boundaries, fulfillment, after-sales, and customer state.
- Input
- Commercial rules, catalog, orders, inventory, and service policy
- Output
- Composable commerce and service operations
- 14Deployable
Deployment and ongoing operations
Include environments, releases, monitoring, backups, and evolution in delivery.
- Input
- Runtime environment, SLA, data boundaries, and change process
- Output
- Rollback-ready releases, health checks, alerts, and operating cadence
Outcomes and boundary
What the system produces and does not promise
Expected outcomes
- 01Move directly from metrics to explainable issues
- 02Record automated checks and human decisions separately
- 03Quality results can change routing, workflows, and next actions
Delivery boundary
Model judgments are evidence and assistance, not substitutes for final legal, medical, financial, or industry accountability.
Public evidence
Projects, products, and validation evidence
Evidence and boundaries come from the public project registry; items without media show a system map instead of an empty frame.
- Data & Quality
- 01 / Evidence
- 02 / Operating path
- 03 / Outcome
Product
LiveTrueAPI Beta
An AI API control plane connecting upstream quality checks, model routing, personal aggregation, supply controls, and usage settlement.
Inspectable evidence
- Production gateway, console, and quality reports
- OpenAI-compatible and baseline Anthropic-compatible paths
- Per-model quality and capacity signals used in routing
Truthful boundary
Public payments, automated supply settlement, long-running capacity trends, and the complete quality matrix remain Beta scope.
- Data & Quality
- 01 / Evidence
- 02 / Operating path
- 03 / Outcome
Lab
ValidatedVideo Compliance Workbench
A review prototype for video versions, transcripts, timestamped issues, custom policies, and report export.
Inspectable evidence
- Versioned video and interactive transcript
- Timestamped issues and revision guidance
- Exportable review report
Truthful boundary
This is a usable prototype; production policy libraries, model evaluation, permissions, and audit require industry-specific hardening.
- Data & Quality
- 01 / Evidence
- 02 / Operating path
- 03 / Outcome
Lab
BuildingSocialPulse
A multi-platform social collection and AI analysis experiment for local intelligence and desktop delivery.
Inspectable evidence
- Desktop application and local collection process
- Cross-platform content analysis interface
Truthful boundary
Platform collection stability, authorization boundaries, data normalization, and production monitoring are incomplete.
- Data & Quality
- 01 / Evidence
- 02 / Operating path
- 03 / Outcome
Validated module
DeployableVideo Production Core
A reusable core for video recipes, immutable artifacts, caption timelines, deterministic rendering, and media quality checks.
Inspectable evidence
- Strict recipe contracts and operator CLI
- FFmpeg rendering, captions, and loudness processing
- Black-frame, freeze-frame, integrity, and media QA
Truthful boundary
The production workspace, live orchestration, image/voice runtime, and golden films require project-specific completion and acceptance.