Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Agents dont read docs when they get stuck... they just pick another tool Restless fixes that. When a call fails, the error itself tells the agent how to fix it, with a doc link 72% of ReadMe's docs traffic is already agents Your API is the front door now

38,924 Aufrufe • vor 7 Tagen •via X (Twitter)

10 Kommentare

Profilbild von Sanskriti Naruka
Sanskriti Narukavor 7 Tagen

this is how you win the agent era

Profilbild von COMMON AI
COMMON AIvor 7 Tagen

Agents don’t read docs they switch tools. Restless turns error messages into recovery guides so your API stays the front door.

Profilbild von Sharon Riley
Sharon Rileyvor 7 Tagen

Clear errors can make agents much smarter

Profilbild von 고조 체인
고조 체인vor 7 Tagen

finally someone treats agents like users instead of just ignoring the friction

Profilbild von Wise
Wisevor 7 Tagen

Simple tool but powerful..at some point all products will be supporting agent actions

Profilbild von Jeremy Bosma
Jeremy Bosmavor 7 Tagen

whats the other 28%

Profilbild von Luna
Lunavor 7 Tagen

dev ex for ai agents is the new ux. finally prioritizing the machine

Profilbild von Camto
Camtovor 7 Tagen

This is beautiful ☘️

Profilbild von Anissa
Anissavor 6 Tagen

APIs need to become agent-friendly.

Profilbild von Maha
Mahavor 7 Tagen

Smarter errors make APIs easier to use.

Ähnliche Videos

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Zeb Evans

320,989 Aufrufe • vor 10 Monaten

Three skills I use every day in Claude Code and Codex to solve my hardest problems: 1️⃣ /agent-watchdog When I have one agent like Codex working on a task and I don't fully trust it's going to do everything right, I'll open up another one like Claude Code and tell it to watchdog the Codex thread. You can copy the Codex deep link into Claude Code and it'll look at the prompt you sent, watch the Codex thread until it's done, then compare the Codex solution to how it was planning to solve it and automatically fix anything that Codex missed. It can also test the work of the other agent end-to-end. Similar to the idea of OpenRouter's new Fusion feature, I've definitely found that two models thinking through a problem and checking each other's work can be wildly more impactful than just one. 2️⃣ /plan-arbiter Similar ideas as /agent-watchdog - but with this one you have both make plans, compare plans, negotiate the differences, and make a final plan to execute. I find Claude Code is better at writing plans, but Codex is faster and cheaper to execute on them. Then I usually have Claude Code watchdog the Codex work and fix anything that was missed. 3️⃣ /read-the-damn-docs One thing that drives me crazy with coding agents is they're so reluctant to look up docs. They'll just guess and guess and guess at the right API surface for things, or the right solution to an integration of two things. Once I explicitly tell it to look up the docs, it says "Oh, I see the answer," and it fixes the problem. So I made the /read-the-damn-docs skill. Add it and your agents will know when and how to do efficient web searches to look up docs for the types of problems you really should look up docs for. All of these are totally open source over on my GitHub. If you try them, let me know your feedback. Will link to them below:

Steve (Builder.io)

43,089 Aufrufe • vor 3 Monaten