I sit through a lot of sales manager interviews for our portfolio companies.
Somewhere along the way I realised I was giving the same advice to founder after founder, in almost the same words each time. So, I finally wrote it down as a playbook.. https://t.co/3sGqIOswvo
Building BI meant centralizing data. Building AI means preserving the authority of distributed systems. Why the warehouse model breaks down for AI agents - and what replaces it 👇
Would love to hear from anyone wrestling with the same transition. https://t.co/GiIAfdZJtY
This is exactly what we're building at @marcopolomcp:
- git-versioned workflows, context, and compiled artifacts (syncs to GitHub)
- runtime with managed secure access to 50+ enterprise systems
- integrated coding harness (Claude, Codex)
Happy to get you in. Would love your feedback.
Sharpest take on enterprise AI - @satyanadella at Microsoft Build: own your context and evals, and models become compute.
The underrated safety argument: intelligence in control of many, not a few.
That's the bet at @marcopolomcp - helping enterprises own their context.
You are - or know someone who - codes like an artist, obsesses over data, lives for engineering systems that scale and uses AI to move like a team of 10 - DM me or email - let’s build!