SureThing.io - Autonomous agent that communicates results like a human

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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.

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his sounds like a dream. As a solo founder working warehouse shifts, I spend more time being a 'debugger' on my Chromebook than actually being a CEO. My biggest bottleneck isn't the AI code, it's the 'human' energy to manage all the silos (CMO, CTO, COO) alone. How does SureThing handle the deployment side of things when the 'CTO agent' hits a wall with infrastructure limits?

 We resonated a lot with you Raquel. We are more focused on solving operational problems. CTO agent we recommend other more focused product such as Claude Code or Lovable.

 Sharp observation — the human IS the bottleneck. That's exactly what we're tackling. In SureThing, agents collaborate with each other autonomously to get work done, and they report back through shared dashboards and task tracking so you stay in control without being in the loop on every step. Think of it as your agents running the CMO/CTO/COO silos together, while you focus on the calls only a CEO can make.

 you nailed it. Being 'in control without being in the loop' is the dream when my 'loop' currently involves 8-hour warehouse shifts! The idea of agents breaking down those silos while I focus on high-level decisions is exactly what I'm aiming for as I scale Triply.

I truly appreciate the honesty. Knowing that SureThing focuses on the operational side while suggesting specialized tools like Claude Code for the heavy lifting is exactly the kind of transparency solo founders need to avoid 'tool fatigue. Definitely keeping an eye on SureThing as I move from 'debugger' to CEO. Congrats on the launch!

Wow, I like the feature of pasting any GitHub skill, which will largely accelerate the developer's workflow. Nice done!!!

  Thank you! Glad the GitHub skill paste resonates — it's exactly the kind of friction we wanted to kill for devs.

 yes Charlene, just throw the recent github repo you just starred and let magic happen.

 Go give it a spin! Would love to hear more of what works (or doesn't) for your workflow 🙌

this is exactly what non-technical founders have been missing from the agent wave. congrats, following closely 👀

 Thanks! 🚀 More skill-related improvements coming soon — stay tuned!

 Thanks, Luke. Yeah, non-technical founders deserve an AI agent they can actually trust!

 Thanks a lot Luke. Feel free to try!

The “starred vs actually running” gap is real. Most tools like OpenClaw or Claude Code still assume users operate in a terminal. SureThing.io's reporting line framing is a clear shift toward outcomes, not setup.

Maker

 

Setup has been the tax everyone pays to use AI, but not on SureThing.

 Thanks Alexia! yes, stop debugging and invest time back to business problems!

 Whether technical or non-technical, every user deserves an out-of-the-box AI agent that actually hits their business goal. That's the bar we're chasing 🎯

Congratulations on the launch! If SureThing “does the job” instead of just suggesting, where do you draw the line between autonomy and human oversight?


Looking forward to see how SureThing develops

 Thanks a lot Alexis! We put a lot of thoughts on designing the best way of human and AI collaborating together, your comment is indeed a very key question. We have a special design of Human-in-the-loop UX, which may be one of the answer. Feel free to try!

Maker

 Thank you!

HITL(Human-In-The-Loop) is exactly the right place to dig in.

We don't hardcode the line. SureThing learns your preferences over time, so when to act, when to ask, and when to flag all get shaped by a preference memory and a self-evolving feedback loop, not a fixed threshold.

If you try it you will see how it learns over time.

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.

 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.

 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.

Exactly the problem. Open-source AI tools are amazing, but the setup overhead kills adoption. Nice solution.

 Resonated with you so much Conan, especially myself as a non-technical cofounder.

 Thanks! Please try it and share more great thoughts with us!

“Agents that work like a team” sounds great,
but getting consistent results from even one AI agent is still tricky.

 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).

 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) 👀

the chairman not debugger framing slaps. every founder im talking to building w agents hits the same wall and its not the model, its the human review loop becoming the bottleneck.

if the reporting layer actually works this is the missing piece. trying it on some marketing ops this week good stuff !

 Thanks Saad! Every one need a The 7 Habits of Highly Effective AI Agents!

Congrats on the launch, is it fully autonomys and is there a possibility to add human input to the loop, in order to make sure it's compliant with business goals?

If it's done, how do you handle it?

 Human in the loop is a big differentiator for us. That is our core insight after keeping in mind - achieving business goal is the most important thing for our customers/users.

 Oh cool, As someone who worked in multiple industries including retail, steel and phosphate industry. I would love to see how the agents work together in order to achieve the goals.

 wow very experienced Hamza!