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case study

AI for go-to-market

A go-to-market workshop for the 2026 cohort of MIT Delta V, the accelerator at the Martin Trust Center for MIT Entrepreneurship. Deep tech and early-stage B2B founders learned how to create demand, with an AI agent behind every step, run live in Claude Code.

Partner
MIT Delta V
Format
90 minutes
Who
Deep tech and B2B founders
Cohort
2026

The Delta V accelerator →

Teaching AI for go-to-market at the Martin Trust Center for MIT Entrepreneurship, with Claude Code on the screen
in the room

Five agents,
one pipeline

1

Positioning first

Get the message right before any outreach, backed by real customer language.

2

Founder-led sales

Mine the warm network first, then go cold with researched, scored accounts.

3

Founder-led content

Turn real conversations into posts in the founder's own voice.

workflows taught

What the
room learned

  • A user researcher agent that builds a sourced quote bank
  • LinkedIn connections to a prioritised list, scored by fit
  • Deep research on target accounts before the first touch
  • Account scoring on fit and recent buying signals
  • Recorded calls turned into posts in your voice
Claude Code Claude ChatGPT Perplexity Clay Apollo Instantly
what people built

What founders
left with

A scored target list

Their own network and target accounts, ranked by fit and recent signals, with sources.

Five working prompts

The full prompt for each agent, ready to run on their own company the same day.

let's build something

Talk to us

We run the same format for growth teams, on your own work and your own tools.

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