Was amazing meeting so many of yall who stopped by the @Auto_GPT booth yesterday including this very cool character
Sorry we didn’t get any better pictures @satyanadella. Come by today and we can get a better one
AutoGPT is at @MSBuild tomorrow + Wednesday.
Our booth is in the Open Source Zone, right next to @github and in the presence of other increadible projects such as @openclaw, @OpenWebUI, & @fkadev
Come see AutoPilot running real workflows, and say hi to our team.
Bring a task you hate doing or drop a task in the comments for us to build live!
We'll see you there!
🚨BREAKING : Call centers are officially dead.
ElevenLabs Agents quietly wiped out the $40B customer support industry.
→ Sounds human in 70+ languages
→ Books, updates, closes tickets mid-call
→ Plugs into GPT, Claude, Gemini, any LLM
→ $0.08/min, startups get $4K free
Revolut, Cisco, Deliveroo already switched.
You're next 🧵
I think we all have a bit of adhd and AI tools/agents were a way to optimize for the modern brain and have us even more glued to our screens, except instead of doomscrolling, some of us replaced that with agent maxing
We’ve also added support for 90+ plugins in Codex, giving it more ways to gather context and take action across the tools you already use for docs, project management, code review, creative work, deployments, and more.
THE CLEAREST PATH TO A $10M+ SOFTWARE EXIT in 2 YEARS (with AI and agents)
building an agency right now is one of the most interesting business moves
the productized agency had its moment in 2022. it collapsed because scaling humans is a nightmare. inconsistent output, people quitting, margins getting crushed. most of the founders (and creators) who tried it got burned and moved on
but the thesis was right. the labor problem is just solved now with AI, claude code, openclaw etc.
here's the actual playbook i'd run today:
pick one painful deliverable for one specific buyer. like SEO content for e-commerce brands doing $1M+ but not "marketing."
or like ad creatives for DTC brands spending $50k/month on meta. one thing. one customer. that's it
then you build the AI workflow behind it.
you're selling an outcome on a monthly retainer. $3-5k/month. 80%+ margins because your cost is compute and a few hours of QA
"BuT tHaT'S nOt a BiG bUsInnesS"
okay but you're still swinging for the fences
because the agency IS the research and development for your agent SaaS
every client is paying you to figure out what to automate. you're learning what breaks, what scales, what customers actually want.
by month 4 you know exactly what to productize. you build the software on top of the workflow you've already proven works and already have customers paying for
agency funds the agent SaaS. SaaS scales without the agency overhead. the clients become your first software customers
now let's talk about what this actually looks like financially
year 1: 10 clients at $4k/month. $480k revenue. 2 people. maybe $80k in costs including compute, tools, one part time VA. you're taking home $400k between two people while building the software in the background
year 2: you launch the software. your 10 agency clients are the first to convert. they already trust you. they've seen the output. you charge $800/month for the software version. now you have recurring software revenue AND the agency still running
year 3: agency is winding down or running on autopilot. software has 200 customers at $800/month. that's $1.9M ARR. 2-3 person team. 85% margins. you are now a very attractive acquisition target
the exit math is interesting. SaaS at $1.9M ARR with strong retention trades at 5-8x revenue. that's a $10-15M exit for something two people built in 3 years starting with zero VC
CAVEAT:
Startups are hard. A lot needs to go right.
But from a framework perspective, I think this probably the lowest risk, highest reward option for lots of of folks
and most of the businesses cost $0 to start
basically
this is the most capital efficient path to a software exit that exists right now
happy building
Businesses using the most AI are significantly outpacing those who are using the least.
And it is revealed in the comments that these are not AI companies themselves, just everyday businesses.
Just talked to an AI Product manager making $375K at a frontier lab.
She hasn't written a PRD in 8 months.
Not "she uses AI to help write them faster." She has not opened a PRD template in eight months because she just doesn't need it anymore.
Her day looks nothing like what PMs do:
She wakes up, opens Claude Code, and has a working prototype running before her first meeting of the day (not a wireframe or a figma mockup someone needs to hand off to an engineer). A testable version of the idea - built/shipped by her in the same morning.
While that prototype is running, she's pulling model outputs and running evals. She knows what hallucination looks like in her specific use case. She knows what latency threshold breaks the user experience. She knows the token cost per query and what that means for margin at scale.
She reasons about infrastructure the way a CFO reasons about a P&L. When something needs to be built for real, she doesn't go write a ticket and wait two sprints. She ships the first version herself. hands it to engineering as a working reference implementation, not a requirements doc full of edge cases nobody reads.
The meetings she's in aren't about alignment. They're about what's already shipped and what's blocking the next thing.
Her mental model isn't:
- "manage the roadmap."
- "be the voice of the customer."
- "facilitate cross-functional collaboration."
Those aren't wrong exactly, they're just from a different era.
The mental model that gets you to $480K at a frontier lab in 2026 is simpler and harder at the same time:
- You are the builder.
- The agents are your team.
- Your job is to ship.
She said the output gap between PMs who operate this way and PMs who don't is already 3 to 4x. And this is inside a lab where literally everyone around her is working the same way.
Here's the thing nobody wants to say out loud: the "I write specs and run standups" PM isn't being replaced by AI. The job isn't disappearing into a chatbot. It's being absorbed by the PM sitting two desks over who stopped waiting for engineers and started building herself.
Really crazy how fast the job description changed and really crazy how few people have noticed.
🚨 Anthropic just dropped its 🦞 @OpenClaw competitor
Meet Dispatch.
A new research preview in Claude Cowork that completely changes how you interact with AI.
Here’s how it works:
1️⃣ Pairs your phone to a persistent Claude session on your desktop
2️⃣ Message tasks on the go, come back to finished work
3️⃣ Executes code in a secure, local sandbox
Your files stay 100% local and private, and Claude asks for your approval before touching anything
Sure, the desktop needs to stay on, but the flexibility is insane.
Rolling out now to Max users (Pro coming soon).
Time to pair that phone! 👀
Somewhere out there is a guy who uses Notion, Superhuman, OpenClaw on a Mac Mini, Raycast, a mechanical keyboard ($400), Wispr Flow, and gets nothing done every day
@biostackr Exactly! Given my activity and all the data you are tracking tell me a personalized recommendation not generic out of the box things like "sleep more" 😅
Why do I get the sense that my whoop is a nagging mom that's judging me and telling me I need to do better because my recovery + sleep score is shit but when when I slightly improve it I still get 70% which translates to "you can do better" because that's still a C which = a F