Platform Documentation
Production workflow, source-linked examples, and review practices for the Dissection Labs intelligence platform.
Production Pipeline Overview
1 Evidence Ingestion
Exa Neural Search retrieves and structures primary source evidence — SEC filings (10-K, 10-Q, 8-K), federal court dockets, regulatory enforcement actions, and corporate press releases. Coverage depends on source availability and operator review.
2 Deep Research Synthesis
The provider router supports Claude for drafting alongside configurable alternatives. Research is supplied as structured context; model selection and context size depend on the production run.
3 Narrative Construction
Structured JSON output schemas drive automated chapter partitioning, narrative arc sequencing, and voiceover timing. Each production follows a 6-chapter deep-dive format with hook, tension, and analytical resolution.
4 Adversarial Verification
Extracted claims are checked against research and source evidence. Content-Title Parity (CTP) checks and profile-specific thresholds help detect material mismatches. Technical passes remain subject to human editorial approval.
5 Audiovisual Rendering
Automated voiceover synthesis, stock footage selection, motion graphics, and chapter-level rendering. Each chapter is independently rendered and validated before final concatenation.
6 Distribution & Analytics
Approved productions are distributed using the YouTube Data API. Post-publish reports support operator decisions about topics and packaging.
Representative Production Work
These examples describe existing editorial projects. They do not establish enterprise customers, independently audited accuracy, or a particular model's execution history.
Northvolt: Financing, Production and Bankruptcy
A six-chapter documentary project separating financing announcements, production progress, bankruptcy milestones and Volkswagen's accounting write-down. The source record does not establish a single cause or an exact burn rate.
CrowdStrike: Channel File 291
An existing Hack Debrief documentary examines the July 2024 outage and software deployment risk. The outage is discussed as an operational failure rather than a malicious intrusion.
Documentary link from the production record · CrowdStrike incident report
Internal Workflow, Public Documentation
The current implementation is an internal Python production workflow with JSON research, scripts, verification reports and rendered assets. No external customer API, API plan, or beta access is offered on this website. Productization remains exploratory.
Contact founder@dissectionlabs.online to discuss the workflow or request a walkthrough. Publication requires human approval. Automated checks reduce risk but do not guarantee factual accuracy.