SureThing.io
Autonomous agent that communicates results like a human
1.3K followers
Autonomous agent that communicates results like a human
1.3K followers
Everyone's running AI agents. Seldom hitting their business goals. AI isn't the bottleneck anymore. Humans are. SureThing is a General AI Agency. Paste any GitHub skill — it becomes a team you can @ anytime. One persistent memory across your COO, CMO, and CTO — zero silos. Agents that report up like humans. So you can finally run it like a CEO, not a debugger. With SureThing, now hit your business goals at inference speed.
Does SureThing work with private repos or just public starred ones?
@antonio_manuel1 Both work. You can either upload the code directly, or authorize the repo through SureThing's GitHub connector. Have fun playing with it.
@antonio_manuel1 Any repo works. In addition, you can send any blog/posts with best practices to SureThing, it will learn and evolve to be more powerful!
“Agents that work like a team” sounds great,
but getting consistent results from even one AI agent is still tricky.
SureThing.io
@sonu38 Indeed, I can tell Sonu you also work in the agent industry. Hence we are also iterating our agent template to strength the capability of one single AI agent (vertically).
@sonu38 You're putting your finger on a real pain point. Inconsistency is the gap most AI agents fall into today, and it's exactly the problem SureThing was built to solve. We're seeing solid results so far, would love for you to try it and tell us where it holds up (or doesn't) 👀
what's the difference with the current agents that exist?
SureThing.io
@rebecca_laub1 Most agents suggest. We ship. 😉
Interesting concept! I'm curious whether I could interact with SureThing via Slack or WhatsApp instead of opening up a separate website/app to chat.
SureThing.io
@jinhao_bai2 Sure thing! Try it more and share with us your insights!
Building SureThing is fun. Seeing how people put it to work is what makes the late nights worth it.
A few snapshots users have shared with us:
→ A B2B founder who finally turned LinkedIn into a real pipeline. SureThing finds the right people, opens the conversation, follows up for weeks, and hands him warm leads when it's actually time to talk.
→ A therapist building her public practice on X and Instagram. Content drafted, posts scheduled, comments answered in her voice. The followers showed up faster than she'd planned for.
→ A Shopify seller spotting which products are about to pop, generating the listings, refining the copy, and watching her conversion rate climb.
→ My favorite: a mom who built a little math game for her kid. No code, no engineer in the family. Just one evening, one idea, and a lot of love. It's part of the bedtime routine now.
These aren't features we built. They're things people figured out to do with SureThing, and every time we see one, we want to make it possible for more.
Make your goals a sure thing.
Congrats! Quick q — when you paste a GitHub skill, how much manual config is still needed to get it running with business context? Is that part guided or does it require some technical setup upfront?
SureThing.io
@sandy_liusy nuh, no technical setup at all. We have power users such as gym owners, lawyers, agency owners, they can all set up their AI employees easily with no technical background.
@sandy_liusy just one click to send GitHub skill, then you can get an agent, nothing else you need to do.
Capalyze
This hits.
Feels like the real problem isn’t building more agents, it’s getting them to actually work together and move things forward.
The “agents that report up” idea is interesting — closer to how people actually think about running a team.
Curious how the shared memory holds up in practice. That’s probably where it either clicks or breaks.
SureThing.io
@leonliu2049 Thanks Leon, what makes it click in practice: we treat memory less like a knowledge base and more like a state machine. Persist execution state (open questions, pending inputs, partial drafts), not just artifacts. Plus a source authority hierarchy so disagreements resolve cleanly.
@leonliu2049 Each agents have their own memories for execution, then they can share memories with each other if needed, no human-in-the-loop action, just agents collaborate with each other by themselves.