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The Computomatix Times

All the posts fit to save — curated from @computomatix's bookmarks & likes on X

Edition of Thursday, March 26, 2026

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Greg Isenberg Outlines Seven Lessons for Running a Startup With AI Agents

Greg Isenberg Outlines Seven Lessons for Running a Startup With AI Agents▶

Greg Isenberg shares a guide to Paperclip, an open-source project for managing teams of AI agents such as CEO, engineer and QA roles, covering persona prompts, memory via heartbeat checklists, skills, quality review and token tracking.

Original post · 3 min read
I met the guy behind Paperclip. he won't show his face, but he just built one of the FASTEST growing open-source projects in AI.

how to use Paperclip to hire AI agents to ACTUALLY run a startup with 0 employees:

1. with paperclip, you hire a team of AI agents like CEO, engineer, QA, video editor, content strategist and manage them from one dashboard.

it works with Claude Code, Codex, OpenCode, or any model on OpenRouter. you're not locked into one provider.

2. your AI agents wake up capable but with zero memory. they don't know who they are, where they are, or what they're supposed to be doing. kinda like that movie memento from back in the day

you need to leave them Polaroids like heartbeat checklists, persona prompts, written context. that's how you keep them on track.

3. when an agent makes a mistake, you don't rewrite everything. you add one rule to their persona prompt.

"always define a success condition for every task."

"always pass work to QA before closing." you're training them like you'd train a junior hire. one correction at a time.

4. skills extend what your agents can do. want a video editor who can produce animated content? install the Remotion skill. want security reviews? there's a skill for that.

5. the biggest lever for quality is encoding your own taste. AI can do everything except know your values. design sensibility, brand voice, success criteria but you have to write it down.

6. don't one-shot your startup. agentic design patterns matter. the simplest one: after the engineer builds something, QA reviews it. structure prevents compounding errors. one-shotting an entire app is fun for 30 minutes, then it falls apart.

7. Paperclip tracks every token spent and every task completed. you can use your existing subscriptions (Claude, Codex) so spend shows as $0, or hook into API credits for real dollar tracking.

8. importable companies are coming. Gary Tan's G-Stack, a full game studio, 300+ agent repos... you can "acqui-hire" a proven agent team into your Paperclip instance instead of building from scratch. the future is downloading a tested org that actually works.

9. routines let you automate recurring work. "every day at 10am, read what was merged into the main branch and write a Discord update celebrating community contributors." it runs, you review, you improve. every task is traceable.

10. maximizer mode is next. you tell the CEO "build this game" and it does whatever it takes and hires who it needs, keeps pressing until it's done. no token anxiety. just outcomes.

use @ideabrowser for startup ideas/trends to get started

thank you for @dotta for doing this podcast and breaking down exactly how people can hire ai agent teams with paperclip

you won't find an episode like this anywhere else

episode is live on @startupideaspod on your fav platforms (follow for more)

is this not the greatest time in history to be building?

im rooting for you

now go watch my frien
♥ 2.6K · ⟲ 259 · 👁 466.1KView on X ↗

Claude Code Paired With Google Stitch 2.0 Redesigns Vibe-Coded Apps

Claude Code + NEW Stitch 2.0 just changed how I design apps

Prajwal Tomar argues that generic AI-built app UIs are a workflow problem and describes using Google Stitch 2.0 with Claude Code via MCP to generate a design system and redesign a client app in under an hour.

Original post · 11 min read
X ArticleClaude Code + NEW Stitch 2.0 just changed how I design apps
Google Stitch 2.0 + Claude Code via MCP is the workflow I’ve been testing… and the results are genuinely insane.
I've been saying this for a while now. If your app looks like AI slop, that's not an AI problem. That's a workflow problem.
Most builders are stuck in the same cycle. You build something functional with AI. The features work. The logic is solid. But the UI looks generic and you know it. Your users know it too. And the moment someone lands on your product, they make a judgment in about two seconds.
The old fix was to hire a designer. Spend $3,000 to $10,000. Wait weeks for Figma files. Then spend even more time getting someone to actually implement those designs into your codebase. By the time the design was live, you'd already lost momentum and burned through cash you didn't need to spend.
That entire process is now optional.
I was able to take a client project that looked like every other vibe coded app and completely redesign it in under an hour. Professional typography. Consistent color system. A design language that actually holds together across every screen.
This is the workflow I'm running now. And I think every builder shipping with AI needs to understand how it works.
Why Stitch 2.0 Is Actually Different
I've tested a lot of AI design tools over the past year. Most of them generate something that looks decent on the first screen and then falls apart the moment you try to build a second page. Consistency is the problem. It always has been.
Stitch 2.0 solves this in a way nothing else has.
It's an AI native canvas. You can feed it screenshots of your existing app, drop in inspiration images from places like Dribbble or 21st.dev, or even paste a URL and let it reverse engineer the design of any website you like. It takes those creative seeds and generates full UI designs with multiple variants you can pick from.
But the real unlock is not the designs themselves. It's what Stitch builds in the background while it's designing.
A complete design system.
Typography scales covering display, headline, label, title, and body fonts. A primary, secondary, and tertiary color palette that's auto generated to be complementary. Color scales for every shade. Component rules and patterns. Elevation and depth specs. Even dos and don'ts for your design language.
All of this gets documented automatically in a file called design.md. This is a plain markdown file that captures every single design rule in one place. And this is the file that changes everything when you bring Claude Code into the picture.
How I Actually Use This on Real Projects
Let me walk you through exactly what I do. No theory. Just the workflow.
I start by taking screenshots of whatever I'm redesigning. If it's a client project or something I've been building myself, I screenshot the main screens and drop them directly onto the Stitch canvas. If I'm starting fresh, I'll grab two or three inspiration images from Dribbble instead. You don't need more than that. You're not looking for something to copy. You're looking for a direction.
Then I write one focused prompt. I tell Stitch what the app does, which screens I want redesigned, and the design direction I'm going for. Dark mode, minimal, editorial, whatever fits the product. I also specify font preferences because fonts are honestly the single fastest way to elevate how an app feels. Serif for headings, clean sans serif for body is a combination that works really well for most SaaS products.
Stitch generates multiple variants from that one prompt. This is important. Don't just accept the first output. Look at each variant and pull the best elements from each. The typography from one, the layout from another, the color energy from a third. You're curating, not just accepting.
One thing most people miss about why Stitch produces such strong output is that it generates images first before any code. That means it's not constrained by what HTML and CSS can do. It can imagine anything visually. Then you work backwards from that reference to build it. That's why the designs feel so much more polished than what you get from prompting a coding tool directly.
You can also talk to Stitch via voice now instead of typing. It transcribes your words into prompts automatically. Small feature but genuinely useful when you're deep in a session and want to keep moving fast.
Design.md Is the Real Game Changer
Once you're happy with your designs, go to the right hand panel in Stitch and click on Design Systems. You'll see that Stitch has already created one for you automatically based on everything you've been designing.
Click into it and you'll find the full design system I described earlier. Typography, colors, components, rules, everything documented and organized.
Now click on design.md.
Copy the entire file. Go to your project. Create a new file called design.md in the root directory. Paste it in. Save it.
That file is now the single source of truth for your entire design language.
Here's why this matters … continue on X ↗
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Sendblue Releases CLI Giving AI Agents an iMessage Number

Sendblue Releases CLI Giving AI Agents an iMessage Number▶

Nikita introduces the Sendblue CLI, installable via npm, which provisions an iMessage number for an agent after running a setup command. A demonstration video accompanies the announcement.

Original post · 1 min read
Introducing Sendblue CLI 🟦🎉

iMessage numbers for your agents.

1️⃣ npm install -g @sendblue/cli
2️⃣ sendblue setup

Done. Your agent has an iMessage number
♥ 2.1K · ⟲ 113 · 👁 453.6KView on X ↗

Indian Developer's Prompting Framework Tops GitHub, Author Shares Patterns

Indian Developer's Prompting Framework Tops GitHub, Author Shares Patterns

Brady Long promotes a GitHub prompting framework built by an Indian developer over 14 months and shares 11 prompt patterns from the repo that he says he has used for three weeks. The post is largely promotional and the claimed benchmark results are unverified.

Original post · 1 min read
🚨BREAKING: An Indian developer just hit #1 on GitHub with a prompting framework that outperforms every major benchmark.

No VC money. No research lab. Just a laptop and 14 months of testing.

Here are the 11 prompt patterns from his repo that I've been using for 3 weeks:
♥ 1.8K · ⟲ 286 · 👁 292.1KView on X ↗