Fast Insight Agent
Fast Insight turns a topic into a podcast and brief in a few hours. No interactive personas, no interview setup — you give it a topic, the AI does deep research on the topic and produces audio content.
What it produces
The primary output is a podcast: a planned, structured piece of audio content aimed at a mass audience, not a research report. The AI plans the angle, the chapters, and the research strategy before producing.
Optionally, a written report can be generated alongside the podcast if you ask for it.
How it works
Fast Insight typically runs as: deep research → podcast generation.
The AI starts by analyzing the topic from an audience-attention perspective — what angle creates curiosity, what triggers emotional resonance, what pain points or controversies make listeners want to hear more. It then plans the podcast structure: chapter breakdown, duration allocation, and the research questions each chapter needs answered.
Research is collected through multi-round web search and synthesis, with optional social-media trend scanning if the topic calls for it. The output is the podcast script and audio.
A full Fast Insight run typically takes a few hours, depending on topic breadth.
When Fast Insight is the right tool
Use Fast Insight when:
- You want shareable audio content about a topic, not interactive research.
- The output is for a broader audience (marketing, content, internal updates) rather than a specific decision.
- You want a quick way to get up to speed on a topic and have something to share.
- You're exploring whether a topic has enough substance to justify a full research project.
Skip Fast Insight when:
- You need to understand users — use User Research with personas.
- You need to make a product decision — use Product R&D.
- You want depth on one audience — use Scout or Interview.
- You want a text-only deliverable — the podcast is the main event, not a side effect.
How it's different from User Research
User Research uses AI personas, runs interactive methods (Interview, Discussion), and produces a research report for decision-making.
Fast Insight doesn't use personas, doesn't run interactive methods, and produces a podcast aimed at an audience outside your team. The output is content, not insight about a specific user group.
If you find yourself saying "I want to know what users think about X," that's User Research. If you're saying "I want a podcast about X," that's Fast Insight.
Limits
- The output is qualitative content, not statistically validated findings.
- Topics with weak online footprint will produce thinner podcasts — the AI can only work with what it can find.
- Fast Insight doesn't interview personas, so you can't validate a concept against a specific user group this way.
- The podcast script is AI-written and may need human editing before publication if you're putting it in front of a critical audience.
A worked example
You say: "Fast Insight on the rise of 'dupe culture' in beauty among Gen Z."
Fast Insight researches the trend, plans an angle (why dupes went from shameful to celebrated, what it means for luxury brands), structures a 12-minute podcast, pulls in social posts and news, and produces the audio. You listen, decide if the angle is right, and either publish or ask for adjustments.
Total time: a few hours. Output: one podcast episode, plus a brief outline.