Framework
The Responsible AI Foundation
A reusable principle stack Punit applies before any AI product ships.
How it works
- 1Decide if you actually want to be ethical, private, compliant, and transparent — most leaders nod on three, hesitate on the fourth.
- 2Document those decisions as written rules, not vibes.
- 3Test for bias, hallucination, and data quality — not just 'does it run.'
- 4Copy only the data you need, never the whole table because it is easier.
- 5Govern the agents the way you would govern human employees, with named accountability.
- 6Run a gut check: would you let your 12 year old use this product?
Hear it on the podcast
Your Vibe Code Just Handed Hackers Your Database - Punit Bhatia, Founder of Fit4PrivacyListen to the episodeMore from this episode
The Discovery to Deployment LoopFit4Privacy's consulting engine for moving a founder from chaos to compliance.The REACTOR Prompt FrameworkPunit's six-part prompting structure that turns any LLM into something close to a senior consultant.The Virtual Privacy Advisor PatternA blueprint for the AI agent founders should be building right now.
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