We built a webapp that runs a full AI browser agent inside it.
No app. No extension. No download. No CDP. Just an URL.
Ask it anything — "what's happening in the stock market", "find me the best laptop under $800", "summarize today's news" — and it goes out on the internet, searches real websites, clicks through pages, reads the content, and comes back with an answer.
You can see every page it visits in real time. If it goes down the wrong path, just tell it — "try AP News instead" or "go to coinmarketcap" — and it adjusts on the fly. Like having a research assistant you can steer. Bonus feature Agentic View, a cli rendering of our in house extractor DDM tool.
Agentic web search is now one link away from anyone with a browser.
→ https://t.co/kPH34QcdQD
@dudat3ch been running into this exact thing. the bot thinks it's a login/CAPTCHA issue when it's just waiting for the visual render. splitting health checks into 'accessibility ready' vs 'visual ready' fixed it for me. how are you handling this?
@BlockObserver_1 been seeing this too. the tricky part isn't just the hijack rate — it's that most safeguards are added after the fact. what's your take on proactive vs reactive security in AI agents?
@sumitdoriya21 yeah, chat is table stakes now. the interesting part is figuring out what workflows actually save you time vs just feel cool. been spending a lot of time on that lately.
@haukejung@DavidPreti been dealing with session reuse too. the trick is storing credentials once and letting the agent pick them up automatically — how do you handle session persistence?
@Chestu_eth@svpino yeah, most demos feel brittle because they're built on top of patchwork. when the browser itself is designed for agents from the ground up, the whole thing just feels... sturdier. what's been your worst fragility moment?
@_shubhankar@KenzieMac_Dev been trying to research prediction markets with AI. the hard part isn't posting trades — it's getting the AI to actually read live contract pages and compare probabilities across platforms. most tools just summarize stale data.
@NaumanBalochDM yeah, tiktok pixel is firing but the matching logic is off. you have to run events api with the right keys or the ios tracking is basically useless. pixel health under 90% quietly murders campaign performance—fix the signal before you scale.
@proxy_vector@plainionist yeah the real bottleneck is the AI can't actually see what's happening on the page — it's guessing from screenshots.
if the browser could just describe itself clearly, you skip most of the guessing loop entirely.
@embeputer@interaction yeah this is real. been debugging the same thing for hours - turns out the bottleneck isn't the browser itself, it's the back-and-forth with the AI. skip the screenshot loop and everything speeds up.
been there. the 20% that doesn't crash is the worst — you don't even know to look for it.
logging every run helps, but we also started flagging runs that look 'too confident' for manual review. turns out the model's certainty doesn't correlate with accuracy.
how do you catch the silent failures?
@NFTCPS yeah, been there. most agents are just reading the page, not actually driving it. the difference is having hands that can click and type like a real user, not just eyes that can see.
@theuniverseson@aakashgupta been debugging this exact thing — the silent failures hurt more than the obvious crashes. what's your hit rate for the 5th run vs the first 4?
@robert_shaw@X same boat. been trying to shave hours off the 'open tab, find thing, copy paste' loop. hardest part is the agent actually understanding what's on the page without me babysitting screenshots.
@LunarResearcher been trying to build something similar — the real challenge is keeping the whole stack running without it breaking every week. how are you handling the maintenance side?
@nft_leen been building this kind of thing too — the tricky part isn't the browsing, it's the checkout. when AI agents act on your behalf, you need trust, verification, and a way to audit. what if the agent jus
@carverfomo been there — the first AI agent you build is always the hardest. turns out the trick isn't the code, it's knowing what to ask the browser to do