AI-Powered No-Code for Enterprise Software
summary
A repeatable workflow that turns a messy chat answer into verifiable market intelligence: record a short founder interview to create a business DNA, auto-generate meta-prompts that run a three-engine multiverse (ChatGPT, Perplexity, Parallel AI) to produce nine deep-research reports in <2 hours, apply two guards — contrarian tripwire and hedge audit — then upload ~300 sources into NotebookLM and interrogate agreement vs disagreement. Example outputs: UK supplements market £1B, premium wedge £80–120M, IM8 $9M (Oct 2025), Modere shutdown 2025, FreeSoul £35.5M and a 100k revenue playbook for a Bio Swiss bundle.
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chapters (10)
- 0:00AI no-code research intro
- 2:51Building business context
- 6:00Meta prompts for research
- 8:11Multiverse deep research
- 9:34Research in Notebook LM
- 12:24Business strategies generation
- 13:49When to use deep research
- 15:38Grounding answers for trust
- 16:45Q&A on AI research
- 20:08Final takeaways
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