Podcast Episode Production Pack

The problem

Podcast production often suffers from creative drift and factual hallucinations when using AI. Creators struggle to maintain traceability between raw research notes and the final episode script, leading to inconsistent quality and production errors.

What it does

• Generates a structured run-of-show and evidence ledger mapped to specific source IDs.
• Creates an edit map and social media clips plan based on provided guest material and constraints.
• Builds a gap register to flag missing information or conflicting source data instead of fabricating facts.
• Produces a publication checklist with a status vocabulary to track human-in-the-loop decisions.

Why this beats prompting it yourself

Generic prompts often hallucinate guest details or smooth over contradictions in research. This skill enforces strict quality gates that preserve uncertainty and mandate evidence for every factual claim, ensuring your production remains grounded in your actual source material.

Use cases

• Convert raw interview notes into a timed run-of-show with verified citations.
• Map specific timestamps or themes to a multi-platform social media clip strategy.
• Identify research gaps and conflicting guest statements before recording starts.
• Manage post-production workflows with a technical edit map and quality checklist.

Known limitations

Requires structured source material to be provided by the user. It will not perform external research, browse the web, or contact guests directly.