Inside $180B Co-Founder's AI Agent System

Описание: I sit down with Furqan Rydhan, a founding team member of Applovin and cofounder Founders Inc, as he walks me through Nebula, a Slack-like workspace where every channel holds an agent that can execute real work across the tools teams already use. We watch Nebula create and edit a Google Slides deck end-to-end, including generating an image and handling failures by retrying until it lands. Furqan shows how Nebula turns one-off work into repeatable “recipes” with scheduled triggers, like adding slides daily or publishing blog posts multiple times per day. We also talk about what “business-in-a-box” looks like in the AI era; where direction, taste, and quality loops become the edge as automation gets widely available.

Timestamps:
00:00 – Intro
01:51 –Building useful agents for real work
03:34 – Nebula: a Slack-like agent workspace
05:04 – Demo: Nebula creating a Deck with Google Slides
13:25 – The “business in a box” content dream (newsletters, affiliates, ads)
14:39 – Demo: Automate Blog Posting
15:52 – What stays valuable when everyone automates
21:23 – Agent workforce and Building quality loops
25:38 – Services and agencies: delivering work with fewer humans
28:53 – Final Thoughts

Key Points

I watch Nebula run like “cloud code for everything else,” automating real work across tools and workflows.
Agents turn one-time actions into repeatable systems via triggers and schedules.
The interface mirrors Slack because work already lives in channels, threads, and context.
Quality becomes the differentiator: critics, scoring, and iteration loops upgrade outputs over time.
Service businesses and agencies scale faster when agents handle production-heavy tasks

Numbered Section Summaries

1. Nebula As A Slack For Agents
I get a tour of Nebula’s channel-based UI, where every channel can hold a dedicated agent for a workflow. Furqan frames it as a way to make non-engineering work feel like using powerful dev tools—except applied to everything.

2. From Prompt To Slides In Minutes
We connect Nebula to Google Slides, and it creates a brand-new presentation and edits it live. Furqan highlights the key shift: Nebula figures out documentation, writes code, executes it, and applies changes directly inside the app.

3. Multi-Modal Work: Text Today, Audio Next
I call out that this feels like a glimpse into how we’ll interact with software going forward. Furqan shares his push toward audio + screen share as a high-bandwidth input, where you explain your thinking quickly and the system executes.

4. Image Generation + Failure Recovery In Real Time
We push the demo further by generating a full-slide image, and we hit some real friction—multiple attempts, size constraints, retries. The point lands: agents keep iterating until they find a path that works, and the user stays focused on the outcome.

5. Recipes, Triggers, And Autonomous Output
Furqan shows how Nebula converts context into a repeatable “recipe,” then schedules it like a cron job. We use the example of adding slides daily until a deck reaches 15 slides, demonstrating hands-off execution.

6. Business-In-A-Box Content Systems
My brain immediately goes to automated newsletters and content businesses: pulling from X, Google News, press releases, then publishing daily with a style guide. Furqan shares his own test blog running 3 posts/day, with search traffic already showing up.

7. Commoditization And The Taste Advantage
I raise the inevitable question: what happens when everyone can spin up automated blogs and workflows. Furqan’s answer centers on escalation—higher quality, better delivery, sharper differentiation, and critics that enforce standards.

8. Agency Delivery, Lead Gen, And Company Ops
We connect the dots to service businesses: content agencies, analytics setups, reporting, research—delivered by a smaller human team orchestrating agents. The bigger idea becomes an “AI team” that produces meaningful economic value when pointed in the right direction.

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