Most startups think about scale in terms of org charts and hiring plans. Their solution to every growth challenge? Add more bodies to the equation.
We've flipped that model on its head. Instead of building departments, we're building an intelligence network that lets each founder operate at enterprise scale.
In the last 30 days alone, we've:
- Generated $1M+ in qualified pipeline
- Onboarded 25 customers (white glove)
- Shipped 20+ major features
- Resolved 500+ support tickets
Let me pull back the curtain on each founder's personal AI taskforce.
This is the AI arsenal that's turning my LinkedIn momentum into pipeline:
The Observer
Scans 15k+ post engagements (mine + competitors) to surface hot ICP leads ready to buy, turning LinkedIn's social signals into our pipeline radar.
Stack - Make + Unipile + Anthropic
The Hunter
Turns 5k+ monthly anonymous website visitors into qualified opportunities by identifying, researching, and engaging high-intent prospects in real-time
Stack: Swan AI
The Gatekeeper
Filters 800+ monthly access requests down to our ideal customers by researching, enriching, and qualifying each lead in real-time
Stack: Make + Anthropic + Generect
Here's how Ido runs product, CS, and support at enterprise scale:
The Concierge
Manages 500+ monthly customer conversations by resolving tickets, onboarding users, and gathering feedback. 70%+ of interactions are handled autonomously.
Stack: Swan AI + Slack
The Analyst
Synthesizes 100+ customer conversations per month into structured feature requests and product roadmap priorities
Stack: Make + Circleback + OpenAI
The Prototyper
Converts product concepts into production-ready prototypes, cutting our design-to-development cycle from weeks to hours.
Stack: v0 Design by Vercel
Here's how Niv Oppenhaim ships more code than most 20-person engineering teams:
The Architect
Turns product specs into production-ready architecture, suggesting optimal implementation approaches and generating boilerplate code in real-time.
Stack: Cursor + Devin AI
The Auditor
Transforms 100+ hours of security documentation work into automated FRP/DPA responses, maintaining our compliance standards while our codebase evolves daily
Stack: Cursor + Anthropic's Computer Use
This was just 8 of our 20+ AI agents.
Want our complete playbook for building an autonomous business? Drop "autonomous" below (make sure we're connected).
This post was originally shared by on Linkedin.