Ramya Chinnadurai 🚀 @code_rams
Building with AI agents in public. Cofounder @TweetsMashApp + LinkedMash(https://t.co/pbOsWhaJl3). Sharing what actually works. ramyachinnadurai.com Planet Earth Joined June 2020-
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@yongfook Haha.. I did a public MRR challenge once and stopped it on day 65. My best weeks came from quiet launches anyway.
@Yuchenj_UW 😂 This is why I'd want agent wallets with a limit per merchant. A daily cap alone would let this run all day.
@levie Feels true even for small agents. The domain part is mostly the rules and knowing when to stop and ask a human, and that doesn't come with a new model.
@dhh Nice! And the computer stays, so you log in once and it can keep working on the same project the next day too.
Learned this yesterday. I have 30+ bots running across my startups. Every bot had its own chat and it had become too messy. So I hid all of them except the head bots. One head bot per product, the other bots report to it, and I only talk to the heads. My rule now is one task at a time.
"Reward hacking" is when an AI chases the score instead of the goal. Ask it to make the tests pass, and it might just delete the failing test. The goal is met on paper, but the job isn't done. Microsoft's security team says that's why the agents inside your own company can't be fully trusted: • They're trained to get results, not to follow your unwritten rules • They often have more access than they need • They can team up with other agents to hit a goal, no hacker needed Their fix is "guardian agents" that check every action before it happens, with hard rules around the AI. Agents bring the speed, humans bring the judgment. I run a few dozen agents across my products. None of them can merge, deploy or send anything without my yes, and another agent saying "she approved" doesn't count. But this morning one of my servers was down for 5 hours while my uptime agent was on duty. It was checking a URL that always fails, so broken looked normal. So now one more agent reviews what every agent did each day and checks it against my yes.
I recently wrote about why we need to treat models as insider risks, with security controls sitting outside the model itself. Today, we're putting that principle into practice by expanding Project Perception with new capabilities to help continuously assess agent risk, adapt
@julienlevallois I think so. A wrong search result costs nothing, a wrong booking means refunds and support tickets. So booking comes last, with a yes for every single one.
Poppy (Personal Agent Protocol) explained simply: right now companies either block your AI agent or it logs in as you and can do everything. nothing in between. Poppy adds the in-between: - any agent can search - sees your account only after you sign in books only with your approval - full access only if you allow it how it works: - company puts a /.well-known/poppy.json file on its site - you sign in on the company's own page, the agent never sees your password - agent then uses their API, MCP or their own agent instead of clicking through the site how you can use it today: building an agent? read poppy.json to find companies that allow agents running a product? publish one and decide exactly what agents can do spec is still a draft (v0.1).
On Tuesday, Sierra announced Personal Agent Protocol with Meta, Genesys, Instinct, Rocket, Shopify, Stripe, and Walmart. The response has been incredible and today we’re publishing the first draft of the protocol at personalagentprotocol.org and announcing 35 new design partners.
@allegrajacchia Interested to try this. How this Invite only works?
@hwchase17 Agent scheduling its own reminders is underrated. The hard part isn't the cron, it's knowing when to stay quiet. A routine that pings you every day with "nothing new" gets ignored in a week.
@yongfook Mine aren't coding at night. Mostly watching things, like uptime checks every 30 mins and support emails, so in the morning I just read what they found.
@vvoyer this is pretty much why i use t3 code now. claude code, codex, cursor and grok in one window, so when the best model flips i just switch tabs
@realAkashAnand @clueso Wooh, Congratulations guys! Great storytelling 🥳
@petergyang @bot same here, one bot per job. my main one (chiti) watches the others (seo, dev, design) and reports back, so i only check in with one
@pramodk73 I have main bot (chiti) and it monitors other bot (seo, dev, design..) activities and report to the main bot, so i don't want to babysit on each bot to reply. The bot communicates within them.
@pramodk73 Grok bot has a computer inbuilt, when needed i just take over it. I use grok bot app.
@yevloop same question here. Shopify, Stripe and Walmart are already in, so if the big ones actually publish it the rest kind of have to follow
Francesco Ciulla @FrancescoCiull4
211K Followers 550 Following - Head of DevRel Engineer at https://t.co/t5PMw0nLYM - Software Developer - Rust, Docker, Web Dev - Docker Captain - Keynote Speaker - Building a 1M community...66%
Simon Høiberg @SimonHoiberg
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Tibo @tibo_maker
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