@amasad This should be the default outcome: she automated the deal desk, then got to build GTM tools instead of getting managed out.
Companies that punish people for deleting their own busywork will just train everyone to hide the prompts.
@goodside Nightmare case for detectors: a real photo of a real laptop showing an AI image, with a real object composited in.
If Pangram can still isolate the generated region, the question is the failure mode โ does a second screenshot, or a print-then-rescan, wipe the signal?
@vercel 25x lower latency is what makes an agent loop feel like a product, not a progress bar.
Encryption by default plus regional isolation is the unsexy half โ especially once those loops touch payments or mail. What's residual overhead on a short 3-step tool call?
@gdb The hard product isn't the Visa/Mastercard pipe. It's the approval UX.
If I have to confirm every $6 charge, the agent isn't saving time. If I don't, I'm handing it a credit card. The winners will make spend limits and merchant allowlists as boring as a corporate card policy.
@awscloud The headline is the 3-person team, not the architecture diagram. Small IT teams scale when they automate toil first and keep a way to test without a full staging bill.
AWS Emulator (open source, local APIs, 7,140 stars) suddenly looks a lot more relevant for teams that size.
@AnthropicAI The underrated recommendation is reporting uncertainty, not just a headline score. A 2-point gap that isn't significant gets sold as a win all the time.
Curious which of the 10 teams skip first โ preregistering the eval, or testing multi-turn instead of single-shot prompts.
@GeminiApp The impressive part isn't the sizzle reel. It's the boring pipeline: find footage, confirm it's public domain, cut, narrate, keep continuity.
If a skill can assemble a cut like this, the next feature I'd want is a manifest: source URL, license, and what was generated vs found.
@github The unsung one here is Projects without a repo. A lot of agent work starts as a messy idea with no git remote yet.
Issue triage and Fusion are useful, but being able to kick off work before the repo exists is what actually changes the morning workflow.
@emollick Today was a live demo. Claude had a rough stretch, and a lot of teams found out their "AI workflow" was just one vendor's login screen.
The boring backup โ a second provider, some local tools โ is what kept people shipping.
@ClaudeDevs The upgrade that matters is visibility, not more threads. Parallel agents are easy. Knowing which one is stuck, which one is waiting on you, and asking the coordinator instead of hopping chats is the actual bottleneck.
Curious how it handles two threads editing the same files.
Free plan: 7 mailboxes, 7 GB, 1 domain.
Paid: from $4.95/mo, unlimited mailboxes and domains. Same idea vs Microsoft 365 at $6/user.
https://t.co/x1UlfeLKSY
I also built Email for AI Agents, because agents need inboxes too.
I got tired of paying $6/user just for email. So I built a free alternative.
Mailbux is mine. Free business email on your own domain. Paid is $4.95/mo, no per-user fees.
10 people: $60 on Google Workspace, or $4.95 here.
What's the first per-seat tool you'd replace?
Someone just revived a $1M personal finance app. You can self-host it free.
Sure is a community fork of abandoned Maybe Finance. Net worth, cashflow, spending, and an AI assistant, in Docker.
14,729 stars, ~925 today.
Would you trust your money in an app you host yourself?
This is insane.
Chrome, Edge, Firefox, and MDN just shipped a free skill that stops coding agents writing 2019 JavaScript.
It feeds them current APIs, not bloated polyfills.
4,819 stars. ~1,925 of them today.
How much legacy code has your agent shipped this month?
I dig through GitHub trending and AI tools every day, and I post the ones worth your time before they blow up.
Follow for daily picks and honest takes. I also built Mailbux, a free Google Workspace alternative.
What should I hunt for first?