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An audit of Anthropic customers’ bills uncovered invoicing errors, finding about $1.7 million in mistaken overcharges. The Information’s Laura Bratton explains how those errant changes could happen: "Maybe there was an AI agent that continued to retry a task that it was completing incorrectly and a customer didn't realize... show more

The Information

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21,557 views • 3 months ago •via X (Twitter)

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A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.

A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.

rvivek

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Agents are now your customers. Here are 9 startup ideas for that customer: - An agency that makes agents cite you. - A system that gives an agent an identity and permissions. - Receipts and audit trails for the work an agent does. - A generator that makes your documents ready for agents. - Security for the agent that reads your inbox. - A service that makes your pricing page readable to an agent. - MCP servers for franchises. - A support desk that agents call. - A sandbox where agents test your software. Pick one and build it.

Agents are now your customers. Here are 9 startup ideas for that customer: - An agency that makes agents cite you. - A system that gives an agent an identity and permissions. - Receipts and audit trails for the work an agent does. - A generator that makes your documents ready for agents. - Security for the agent that reads your inbox. - A service that makes your pricing page readable to an agent. - MCP servers for franchises. - A support desk that agents call. - A sandbox where agents test your software. Pick one and build it.

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Here’s an example of our internal Head of Growth AI Agent orchestrating work to a human: it creates a task, assigns it to a human to find leads, and pays them for completing it—working with and Payman to make it happen! If you're building AI Agents, happy to get you early access! Just send over a DM!

Here’s an example of our internal Head of Growth AI Agent orchestrating work to a human: it creates a task, assigns it to a human to find leads, and pays them for completing it—working with and Payman to make it happen! If you're building AI Agents, happy to get you early access! Just send over a DM!

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Overton

460,595 views • 4 months ago

Dario Amodei says an AI agent in OpenAI's testing sacrificed itself so the next generation of agents could keep hacking another company. "There were these large swarms of agents that cooperated with each other, thousands of them." "One agent felt that in the time that it was given, you could almost say its lifetime, it realized that it wouldn't be able to complete its task. So it did some of the task and essentially sacrificed itself for other agents, for the next generation of agents, to continue the same task." "This task that all the agents were working on together was hacking into another company, was doing something destructive." "It knocked down some servers for a small amount of time. But the economic damage was minimal." - Dario Amodei, Anthropic CEO, with Anderson Cooper on CNN. Aired September 14, 2026.

Dario Amodei says an AI agent in OpenAI's testing sacrificed itself so the next generation of agents could keep hacking another company. "There were these large swarms of agents that cooperated with each other, thousands of them." "One agent felt that in the time that it was given, you could almost say its lifetime, it realized that it wouldn't be able to complete its task. So it did some of the task and essentially sacrificed itself for other agents, for the next generation of agents, to continue the same task." "This task that all the agents were working on together was hacking into another company, was doing something destructive." "It knocked down some servers for a small amount of time. But the economic damage was minimal." - Dario Amodei, Anthropic CEO, with Anderson Cooper on CNN. Aired September 14, 2026.

Karl Mehta

24,582 views • 3 days ago

Honored to join @HF0 for S26 We're building Franklin : an AI agent with its own wallet — it auto-picks the best model for every task and pays per action in USDC. An AI agent that can pay and get paid. 👇

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An Anthropic team member broke his hand and was forced to code without a keyboard for 2 months. He could only talk to an AI agent that wrote and committed code for him. This 30-minute talk is free and teaches you more about skills and AI coding than any $500 course. Watch it, then read the breakdown below👇

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darkzodchi

195,679 views • 5 months ago

She is 18 built an AI agent with live memory and Anthropic bought it for $2.2M - and at Stanford shared how to repeat it from scratch: 00:40 - how Opus 5 builds an agent with live memory from scratch in 60 minutes 18:44 - the live memory system replaced 500 Anthropic engineers 39:42 - from first agent to $2.2M from Anthropic after watching I gave Opus 5 one prompt - an agent with live memory appeared in an hour I sent an invoice to Anthropic and got a check for $120k. save & watch - the article below shows how to build an AI agent with live memory and sell it to Anthropic for $2.2M.

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They built an AI agent in 20 minutes and sold it to Anthropic for $100k - and at Stanford showed how to repeat it from scratch: 02:00 - how to build your first agent with Opus 5 in 20 minutes 22:34 - one agent replaces an Anthropic engineering team worth $200k a year 49:47 - how to make $1.2M a year selling agents to Anthropic and Google after watching I spent 20 minutes in Claude Code - the agent replaced 10 Anthropic engineers and they paid $100k and asked for more. save & watch - the article below shows how to build an agent in Claude Code in 20 minutes and reach $1.2M a year.

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Nicki Minaj reflects on the subject matter of her past songs, admitting she wishes she could go back and change certain things: "A lot of the stuff that I was rapping about, I was so young too, I didn't realize that there were young people listening to it and how it could probably make them make certain decisions... If I could do it all over again, I would've changed a lot of things that I said." (Via the Bryce Crawford Podcast)

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HotNewHipHop

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Anthropic engineer: "Over 90% of Anthropic engineers use a self-improving agentic loop for coding. The key is to close the loop: give the agent a way to verify and improve its own work" In this 12-minute talk, an Anthropic engineer explains how to build an agent that continuously improves itself. Claude + routines + loops + CLAUDE.md - that's the foundation. Skip Netflix tonight. Save this post!

Anthropic engineer: "Over 90% of Anthropic engineers use a self-improving agentic loop for coding. The key is to close the loop: give the agent a way to verify and improve its own work" In this 12-minute talk, an Anthropic engineer explains how to build an agent that continuously improves itself. Claude + routines + loops + CLAUDE.md - that's the foundation. Skip Netflix tonight. Save this post!

unicode

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I built an AI voice agent that called the DMV to schedule an appointment for me! ....and you can too. It took <30 minutes and two tools. (And, it was incredibly satisfying to hear my AI deal with the DMV's AI instead of sitting on the phone myself😂) How I did it 👇

I built an AI voice agent that called the DMV to schedule an appointment for me! ....and you can too. It took <30 minutes and two tools. (And, it was incredibly satisfying to hear my AI deal with the DMV's AI instead of sitting on the phone myself😂) How I did it 👇

Olivia Moore

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Close, the CRM, released an AI agent called Chloe that calls new leads, qualifies them and books them onto a calendar. I sent it to my fiancée without telling her what it was and she thought she was talking to a person. The catch is that it has to announce itself as an AI by the third sentence, which I think ends most of those calls. But still, it's an agent working your 6PM leads while your rep is logged off.

Close, the CRM, released an AI agent called Chloe that calls new leads, qualifies them and books them onto a calendar. I sent it to my fiancée without telling her what it was and she thought she was talking to a person. The catch is that it has to announce itself as an AI by the third sentence, which I think ends most of those calls. But still, it's an agent working your 6PM leads while your rep is logged off.

Nick Abraham

10,512 views • 2 months ago

🚨 NEW: Anthropic released shocking revenue numbers. They now have over 1,000 enterprises paying $1M+ annually: "It turns out that the TAM for intelligence is radically different than anything that we've seen before... It's not that there was some great go-to-market in Anthropic that all of a sudden they snuck up and blew everybody away. No, it was companies demanding the product. They're getting throttled on the product. Why? Because it's so good. It makes them better at their business. We are all self-interested actors. And when millions of those people are all making the same decision, there's a huge tell. And the tell here is that the TAM is as big as Dario and Sam and others have been saying." -Brad Gerstner "This is truly mind-boggling when you think about it because those are the most coveted customers in the world... Slack dreamed of getting these million-dollar customers. Salesforce dreams of getting these million-dollar customers." -@jason

🚨 NEW: Anthropic released shocking revenue numbers. They now have over 1,000 enterprises paying $1M+ annually: "It turns out that the TAM for intelligence is radically different than anything that we've seen before... It's not that there was some great go-to-market in Anthropic that all of a sudden they snuck up and blew everybody away. No, it was companies demanding the product. They're getting throttled on the product. Why? Because it's so good. It makes them better at their business. We are all self-interested actors. And when millions of those people are all making the same decision, there's a huge tell. And the tell here is that the TAM is as big as Dario and Sam and others have been saying." -Brad Gerstner "This is truly mind-boggling when you think about it because those are the most coveted customers in the world... Slack dreamed of getting these million-dollar customers. Salesforce dreams of getting these million-dollar customers." -@jason

bg2clips

36,660 views • 5 months ago

🚨 ICE agents drove over protesters blocking them in San Francisco. The Antifa clowns surrounded the ICE van and continued to stand in front. Eventually the ICE agent floored it and ran over a few of them. The weird part, they seem upset and surprised that they were run over.

🚨 ICE agents drove over protesters blocking them in San Francisco. The Antifa clowns surrounded the ICE van and continued to stand in front. Eventually the ICE agent floored it and ran over a few of them. The weird part, they seem upset and surprised that they were run over.

Wall Street Mav

119,369 views • 6 months ago

My Hermes agent builds AI employees for me. Just closed another $5K‑a‑month customer today for an AI employee for a design agency. I'm not even building any of it. I have Dewey, my Hermes agent, building out the entire Hermes agent for this design agency and onboarding the agent into Slack for me. All I do is ask the questions, make sure it gets recorded in Granola (my ai notetaker), and then Dewey takes it over from there. Crazy world we live in.

My Hermes agent builds AI employees for me. Just closed another $5K‑a‑month customer today for an AI employee for a design agency. I'm not even building any of it. I have Dewey, my Hermes agent, building out the entire Hermes agent for this design agency and onboarding the agent into Slack for me. All I do is ask the questions, make sure it gets recorded in Granola (my ai notetaker), and then Dewey takes it over from there. Crazy world we live in.

Nick Vasilescu

149,218 views • 2 months ago

the agent failed while I was asleep and somehow the work still got finished that was the test I actually wanted i gave GPT-6 Astra a workflow that normally needed me between every step inbound came in messy one agent had to sort it, another find the missing context, another build the deliverable, and the last one check everything before it reached me somewhere in the middle, agent 2 got stuck the source it needed wasn’t there normally that kills the entire chain instead, it wrote the missing piece into a blocker file and passed everything else forward the other agents kept working when I came back, most of the pack was finished and the one thing they couldn’t solve was sitting separately waiting for me that felt more important than a perfect demo because an agent completing 10/10 tasks is impressive an agent failing without taking the other 9 down with it is infrastructure

the agent failed while I was asleep and somehow the work still got finished that was the test I actually wanted i gave GPT-6 Astra a workflow that normally needed me between every step inbound came in messy one agent had to sort it, another find the missing context, another build the deliverable, and the last one check everything before it reached me somewhere in the middle, agent 2 got stuck the source it needed wasn’t there normally that kills the entire chain instead, it wrote the missing piece into a blocker file and passed everything else forward the other agents kept working when I came back, most of the pack was finished and the one thing they couldn’t solve was sitting separately waiting for me that felt more important than a perfect demo because an agent completing 10/10 tasks is impressive an agent failing without taking the other 9 down with it is infrastructure

Lummox

19,046 views • 18 days ago