The agent answered correctly. Then it tried to send the email.
This is a dev post classified by Jev as AI dev tools (a tutorial), kept by the Dev Radar because it carries real work, not commentary.
The agent answered correctly. Then it tried to send the email. That’s the moment architecture matters. An enterprise AI agent has to do more than generate a response. It needs to understand a request, find the right information, choose an action, use a tool, and check what happened before taking the next step. Here’s what sits behind that loop: 1. Channels: Requests arrive through chat, Slack, Teams, APIs, voice, or scheduled events. 2. Agent runtime: The runtime plans steps, tracks state, handles failures, and manages work that takes longer than one request. 3. Models: A gateway selects a
Posted by Aiswarya Venkitesh (2.1k followers) 15 h ago · 10 likes · 229 views · view the original post on X. Kept by the Dev Radar as AI dev tools.
More dev work like this
- AI copy can sound polished and still feel predictable. This skill file helps catch the… — @DanKornas
- 🔥🔥🔥 Claude 限时优惠,可以直接领取 $250 云端会话额度 — @kafkaup
- This inspired us! — @heyaskr
- Product work gets messy when every AI prompt starts from zero. — @DanKornas
- 两个视频让你直观看到 Opus 5.5 和 6 SOL 的差距有多大。 — @0xLogicrw
- mizchi/vlmkit が破綻なくUIを実装できるデモの一つ、 excalidraw クローンが作れる — @mizchi
- Lovable’s agent infrastructure records ~500M events on a typical weekday. — @FabianHedin
- 500 million agent events per day. That’s the scale behind Lovable’s new Chats experience. — @TomasHalgas
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 23.4k posts from 5k X accounts over the last 21 days, 2.7k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-24 10:22 UTC. Full method.