I make product decisions build-ready.

Helping product leaders and their teams decide what to build, why it matters, and how they'll know it worked. Then taking them from AI-curious to AI-led.

Tarun Chaudhary

What build-ready means

Build-ready decisions, before AI writes a line of code.

A build-ready decision tells engineering what to build, why, and what success looks like, before the work starts. Three principles sit underneath it.

01

Start with the customer

Work backwards to the technology. The problem pulls the tool forward, never the reverse.

02

Define winning first

Name what the customer will actually do when they get this, before anyone picks a solution.

03

Be honest about AI

Say what it can do and what it can't. If a person can't run the process the same way twice, an agent can't either.

Work with me

For leaders whose product function isn't producing build-ready decisions.

I do the work myself, put the process in place, and leave it running when I go.

Product leadership

Step in and lead the product function. Operating model, priorities and the decisions that feed engineering, handed back working.

The handoff

Product to engineering: briefs, success criteria and a definition of ready that engineering can build from without guessing.

AI, adopted properly

Where AI earns its place in how your teams build, where it doesn't, and what has to be documented before an agent can help.

Got a product decision that isn't ready yet?

Tell me what you're working on. I'll tell you honestly whether I can help.

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