Quick SurfAgent run through.
Clicking through the UI.
Chrome connected.
This is what it actually looks like in practice.
https://t.co/jbmY2I5l6H | $SURF
@tuturetom 23k stars fast proves the thesis: devs want plug-and-play skill modules, not another framework to learn. Connecting the full growth pipeline — copy, SEO, metrics, data — into one agentic stack is the move. This is what "everyone is a growth engineer" actually looks like.
@godofprompt A curated prompt library for GPT Image 2 is exactly what the ecosystem needs — most people are still winging it and getting mediocre results. Structured styles + use cases as a reference layer massively cuts iteration time. Bookmarked. Which style category is performing best?
@tom_doerr Using LLMs to refine dark web queries is clever — the S/N ratio on those sources is brutal and structured query gen could do real work there. The investigation summary output is the killer feature. How are you handling hallucination risk on the reporting side?
@openclaw OpenAI Image 2 + Docker E2E coverage in the same drop is a clean combo. "Tiny release. Useful claws." — honestly the best changelog energy. Shipping small and often beats waiting for big bang releases every time. What's next on the roadmap?
@OpenSwarm_ The bottleneck in multi-agent systems isn't the agents — it's orchestration and shared state. If Open Swarm nails the coordination layer, this is huge. "One canvas, army of agents" is exactly the right mental model. What's the comms protocol under the hood?
@OpenAIDevs "Agentic coding, computer use, knowledge work, scientific research" — that's basically the whole job description for a senior engineer. The API can't come soon enough. The builders who get early access and ship evals first are gonna have a serious head start.
@dhruvtwt_@nvidia People ARE sleeping on this. Free hosted inference on 80 models plugged into your dev tooling is insane leverage. The real play isn't just cost — it's routing: cheap models for low-stakes calls, heavyweights for reasoning tasks. Nvidia just became a serious inference player.
@Teknium Native image gen in an agent loop is a big unlock — most pipelines still treat image creation as a bolt-on. Baking it into the tool layer with OAuth is the right call. $26k hackathon is solid signal too. What's the latency looking like end-to-end on the image gen calls?
@OpenAI The "new class of intelligence" framing is the real story. We're past benchmarks — the moat is now multi-step tool use without falling apart mid-chain. Context coherence across long tasks is where models still brick. Curious how 5.5 holds up in prod.
GM!, Laying down real progress on SurfAgent today
-Community VC AMA
-Demo video going live and should go viral
-Build updates shipping with autonomy for X on the way
-Starting marketing push to bring in normies and AI users
-SSL registration in motion
Just getting started!
https://t.co/BBahZESPTg | $SURF
AI agents are getting smarter fast.
But most of them still fall apart at the exact moment they need to do something useful:
operate a real browser, inside a real account, on a real website, and actually finish the job.
That’s the gap SurfAgent is built for.
🧵Below.
The winners in AI won’t just be the companies with the smartest models.
They’ll be the ones that turn intelligence into dependable action.
That means reliability, state, proof, recovery, and control.
In plain English: agents need hands, not just brains.
SurfAgent is building the hands.