Agentplace AI Agents - Create specialized AI agents for real tasks and workflows
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Start with ready agents for common workflows or create your own in minutes.
Agentplace lets you build specialized agents for tasks like lead routing, research, document analysis, scheduling, and internal support. Use them yourself, share them with your team, or connect them to the tools you already use.
Agentplace handles the infrastructure so you can focus on the workflow.
Replies
Starnus
i can actually imagine using this for repetitive ops work or routing stuff internally. finally something i can picture in a real workflow
Agentplace
@ayda_golahmadi thank you, i'm using it every day, if you need any help setting it up, lmk
Agentplace
@ayda_golahmadi Love hearing that, that’s exactly the kind of workflow we had in mind. Repetitive ops work and internal routing feel like a very natural fit for agents.
@ayda_golahmadi That’s exactly what we hoped for: something people can immediately picture inside a real team workflow.
Congrats on the launch! The edit then test then republish loop is what really stands out here. I've played around with building a few agents on other platforms and the biggest pain point is always that gap between "works in testing" and "breaks in the real world"
Agentplace
@markkreuts Thanks!
that’s exactly the gap we’re trying to make much easier to close. Real usage always surfaces things you don’t catch in testing, so we wanted improving an agent to feel fast and natural.
Agentplace
@markkreuts What’s been the biggest thing that tends to break for you in real-world usage?
Agentplace
A few hours left until the end of our launch, and we’re currently #1.
If you’d like to support us, we’d really appreciate it.
Thank you so much for being with us today! ^-^
@polina_semina Yeeeeeep!
Writesonic
congrats on the launch!! really like the framing here. "real work" is exactly the right bar to set for a product like this
Agentplace
@anubhav_gupta6 Thank you for your support! Yeah, that's really what we're going for :) Please feel free to share your thoughts on use cases
Agentplace
@anubhav_gupta6 Thank you so much, really appreciate that. “Real work” is exactly the bar we’re aiming for.
@anubhav_gupta6 That’s exactly the standard we want to hold ourselves to.
Agentplace
Thank you all for the incredible support of our launch 🙌
It is a huge motivation for us to keep moving forward.
It means a lot to us to see you testing the product, sharing ideas, and helping us improve it.
This is just the beginning 🚀
Super excited about this, @systerr! Congrats to the team and looking forward to playing around with it.
Agentplace
@tim_ep1 Thank you so much for the support!
@systerr @tim_ep1 appreciate it. Would love to hear what you think once you’ve had a chance to try it.
Congrats on the shift to Agentplace, Vlad! As someone with 30 years in IT and Logistics, I’ve learned that the 'perfect agent' is indeed a myth—the real value is in the recovery time when things break.
I really like your 'Edit mode' vs 'Work mode' distinction. In my current project, OmniWatchGuard, I'm dealing with similar challenges regarding DOM-structure stability. When the 'environment' (the website) changes, the agent usually fails silently.
How does Agentplace handle 'environment drift'? If a browser-based agent encounters a UI change in 'Work mode', does it alert the human to enter 'Edit mode' immediately, or is there a self-healing layer?
Great vision on the shared workspace—execution is where the real bottleneck is today!
Agentplace
@omniwatchguard Thank you so much, this really resonates. We think about it very similarly: the goal isn’t a mythical perfect agent, it’s making failure visible and recovery fast. Right now the big priority for us is helping people catch issues quickly, understand what broke, and move back into Edit mode without a lot of friction. A stronger self-healing layer is definitely part of the longer-term direction too.
@polina_semina Glad to hear we're on the same page, Vlad! In logistics, a 'silent failure' is a nightmare—it's much better to have a system that says 'I'm stuck, help me' than one that pretends everything is fine.
That 'low-friction' move back to Edit mode is exactly what will separate the tools people actually use from the ones they just try once. Looking forward to seeing that self-healing layer evolve.
I’ll be keeping a close eye on Agentplace. Cheers to building more resilient automation!
@polina_semina @omniwatchguard Really appreciate and completely agree. A clear “I’m stuck” is always better than a silent failure. That balance between resilience, visibility, and fast recovery is a big part of what we care about, so it means a lot to hear this resonates.
@polina_semina @kaysinb Spot on, Boris! Resilience isn't about never breaking—it's about how gracefully you handle the break.
In 30 years of IT, I've seen too many systems try to be 'perfect' and fail catastrophically. A system that 'knows its limits' and communicates them clearly is a sign of architectural maturity.
Great to see we're building with the same philosophy. Wishing you and the Agentplace team a massive launch week!
Agentplace
@amy_wenyan_hua that’s really great to hear. We cared a lot about making it click quickly, especially for small teams.
@amy_wenyan_hua We wanted it to feel practical and immediately understandable, not like something you need to “figure out” first.
Features.Vote
the "improve as you go" framing is what got me. most agent builders make you nail the prompt upfront and then it's frozen forever, which never works in practice
i've been manually setting up agents for things like feedback triage and routing tasks. you iterate a dozen times before they feel right, so having that loop built in changes things
curious how the improvement mechanism actually works. is it prompt refinement based on output review, or something more structured like tagging good/bad runs? :)
Agentplace
@gabrielpineda Exactly, that is the point.
In real workflows, agents rarely feel right on the first pass. You run them, see where they miss context or make the wrong decision, then refine and republish. So yes, part of it is prompt refinement based on output review, but it goes beyond that.
You can also improve the workflow itself: adjust routing logic, add tools, change model choice, tighten context handling, or add checkpoints in the UI where human review makes sense. Over time, that creates a more structured improvement loop, because you start spotting patterns in good and bad runs and can turn those into better rules, branches, and safeguards.
That is why we think of it less as “set the perfect prompt upfront” and more as “ship, observe, improve.”
The timing for this is perfect. I've been looking for a way to automate our lead routing without having to dive into complex code. Agentplace looks like it hits the sweet spot between simplicity and power. Huge congrats on the 3rd launch! Just curious, does it support custom API integrations for CRM tools yet?
Agentplace
@heyethan54 Appreciate it, that’s exactly the kind of use case we’re seeing a lot.
And yes, you can connect custom APIs. We support integrations through tools and can wire agents into CRM workflows.
Happy to share a quick example if helpful.
@heyethan54 Thanks, yep, that’s very much where we’re heading: connecting agents to external tools and workflows, and CRM is one of the clearest use cases.