Albato AI - Build AI-driven workflows across 1,000+ apps
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Automate smarter with Albato: chat with Albato Copilot to build automations and let AI Agents execute tasks from natural language requests. Plus, visualize workflows with Canvas mode, test individual steps with real data, and share automations easily.
Replies
SpreadSimple
Been a fan for a while, great to see you all on PH today. Congrats! 🔥
Albato Embedded
@refat_ametov Thank you so much, really glad to have you here with us today! 🎉
Fundraisly
Happy launch day! Wishing the whole team a strong run today
Albato Embedded
@annmast Thank you! The team really appreciates the kind words. 💙
Fundraisly
Really like where you're taking this. The AI side feels like a natural next step for Albato
Albato Embedded
@alena_medvedevaa Thank you! That's exactly how we see it too, a natural next step. Glad it resonates. 🙌
Flipner AI
Really great and helpful product!
Albato Embedded
@alex_egorov Thanks so much!
This looks solid. Does the Copilot remember context across multiple automation requests in the same session?
Albato
Thank you, @dhiraj_patel5 ! Yeah, Copilot does remember context within the same chat session. This allows users to build on previous requests, refine existing automations, and have more natural, multi-step conversations without having to repeat the context each time.
Congratulations on the launch!
Albato
Thank you very much,@alina_valyaeva !
FlowMarket
Hey team, thats huge.!I have been trying to build such an automation system (text to automation) and failed utterly :D Great technical work. What percent is deterministic and what percent of workflows is still random? AI is flexible, but not really deterministic. How did you solve this problem?
Albato
Thank you so much,@davitausberlin ! We really appreciate that 😊
Copilot is trained on Albato's knowledge base and hundreds of real-world automation use cases, so in most cases it will correctly understand, suggest, and implement the workflow the user is trying to build. That gives us a much more predictable experience than relying on a general-purpose AI model alone, while still keeping the flexibility of natural language interactions.
1000+ apps is a lot. curious what happens when one step in the chain breaks — does it retry or just die?
Albato
Thank you,@doganakbulut ! We're constantly expanding our app library 🚀
As for errors, we have built-in Error Handling that can be configured for each step of an automation, allowing you to define exactly what should happen if an error occurs:
Stop the automation – The automation stops immediately, and no subsequent steps are executed.
Continue the automation – The automation ignores the error and proceeds to the next step.
Proceed to a selected step – You can use the Error Handler as a router, sending the automation to any subsequent step you choose if an error occurs.
Once an automation is running, any failed requests are clearly shown in the execution log. From there, you can either manually resend failed requests or enable automatic error resending.
If an automation ends up containing only failed requests (with no successful executions), it will eventually be stopped automatically.
the natural-language branching logic part is the piece I'd want to stress test before trusting it on anything important. with a normal if/then builder you can see exactly what will happen, with an AI agent interpreting the branch conditions there's more room for it to misread intent on an edge case. is there a way to preview or dry-run a workflow before it goes live on real data
Albato
Hey, @omri_ben_shoham1 1 We hope you'll enjoy the feature. 😊
To help prevent unexpected behavior, you can configure guardrails for your AI Agents to clearly define how they should behave. You can also test the automation before putting it into production, allowing you to verify that the workflow before it runs on real data.
Fundraisly
This is a solid one. Excited to see how it evolves from here. Congrats team!
Albato
Thank you so much, @uladzislau_sakalou ! We really appreciate your support.