A bootstrapped project turning corporate disclosures, incident reports, and legal records into documentary narratives, with source checks and human editorial review.
Longform Chapters
Active Editorial Verticals
Content-Title Parity Checks
Publication Approval
Dissection Labs combines structured research, AI-assisted drafting, verification reports, and human review for documentary production.
Research combines search results and available source documents, including company disclosures, regulatory records, and incident reports. Source access and coverage vary by topic.
Claude is one of the models supported by our provider router for narrative drafting and editorial work. Other AI providers can serve configured stages and fallbacks.
Extracted claims are checked against research and sources. Content-title parity and profile-specific gates flag material issues; reports guide correction and human review.
Broadcast-grade vocal pacing and emotional cadence calibrated to documentary chapters, utilizing state-of-the-art neural speech models.
Chapter rendering combines narration, illustrative visuals, and selected source references. Final artifacts are inspected before release.
Python orchestration on a local Mac produces longform and shortform assets. Build, review, and API publication are separate steps, with human approval required.
A staged editorial workflow with source checks, configurable AI models, and human release decisions.
Source collection and structured research with access and relevance checks.
Claude-supported drafting and configured fallbacks structure the narrative.
Claim checks and parity gates produce findings for correction and review.
Synchronized narration, statistical graphics, and chaptered video assembly.
Selected Components in the Production Workflow