What are your top researching tools that you have your agents use?
I'm currently using:
- Perplexity
- Exa
- Tavily
- Google Deep Research (through the api)
- Good old fashioned web search in codex and claude code
Kit finally released an MCP. I've been using their API, and it's working pretty well so not much changed in my workflow.
However, it seems to struggle with editing the body of email sequences.
Anyone else been making good use of Kits and MPC?
Expo + React Native is why a non-coder can ship a real mobile app.
One project becomes an iPhone app, an Android app, and a website. An AI agent edits a file → your phone updates instantly. Package it into a real installable app when you're ready.
The prompt I used (paste into Claude Code or any coding agent in an empty folder):
"Set up an Expo + React Native app in this folder. Install everything, then start the dev server so I can scan the QR with Expo Go on my phone."
10 minutes later I was building on my phone.
I’m getting more convinced the useful agent pattern is not “let it run everything.”
It’s:
1. agent writes the fix
2. tests prove the contract
3. repo log records the decision
4. external actions wait behind a human gate
Today: 28 tests, 3 issues closed, 6 automation pages shipped cleanly.
Using Claude Code to plan my honeymoon. France, June 4-23.
It's booked: 4 stays, 5 trains, 2 wine tours, a Michelin dinner, a Seine dinner cruise, Eiffel Tower top floor, Louvre, Musée d'Orsay, a food tour.
Budget in markdown, EUR auto-converts to USD. Every confirmation PDF lives in the repo.
I’ve been using @mattpocockuk’s agent workflow ideas:
grill the design first, turn it into a PRD, split it into issues, then TDD each slice.
It turned duplicated automation into a shared runner that’s easier for AI agents to navigate, test, debug, and change.
Codex computer use is pretty freaking good.
It checked Telegram/Teams, found a song on Spotify, looked at email stats, and scanned messages/emails for anything needing attention. All from one concise prompt.
Starting to feel genuinely useful.
Using Computer Use to post this.
Built a public system-bug-investigator skill for coding agents.
It keeps bug fixes from turning into symptom patches: identify the failure surface, trace related files/services, check blast radius, choose the safest first fix, then verify.
https://t.co/6eZXfb7eQd