Incredible - Deep Work AI Agents - powered by Agent MAX
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Create AI agents that work 24/7, cost 90% less, and don't hallucinate on data—powered by Agent MAX. Automate daily repetitive tasks with the world's most advanced AI agent engine built for autonomous work. Hundreds of integrations. 90% cheaper. Near-zero hallucinations. 100x memory.
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The 'stuck detection' feature is honestly my favorite part. Nothing hurts more than checking your logs and seeing an agent burned through credits because it kept retrying a failed step all night. Quick question though, when it recovers from a loop, does it keep the full context history or does it summarize to save tokens? We handle massive documents at SquarePact, so I know how tricky that memory management is to get right.
Incredible
@govindsajit it's def. a good one! Lots of developers struggle building the system design around the Agent. It's hard to build with llms, usually takes a few months or years of trial & error. We packed all our learnings into it.
Great user experience and product! Definitely, it makes a huge difference. Great job, Team Incredible!
Incredible
@george_gevorkian thank you a ton George! Would love to hear more of your feedback :)
SyncSignature
Let's go @nikola_plantic_tomasic
Incredible
@neelptl2602 Highly appreciated!
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The top three creators who have published their Agents in the community!
This hits different. Actual autonomous agents that don't hallucinate could be a game changer for enterprise ops. Most tools just chat, you're building actual workers.
Key q - how does this handle context for domain-specific tasks like ITSM or customer support? Can you train on proprietary data? Also, how reliable is the task completion rate in production?
Very interesting! 🚀
Incredible
@imraju hey! super question :)
So for domain-specific stuff like ITSM or support, agents connect directly to your apps and work with your actual data during execution. No generic outputs. Deep Memory gives them 10-100x more context so they can handle big datasets and long workflows without losing track.
On proprietary data, we don't train on any of it. Ever. Everything runs in isolated sandboxed environments, gets processed for the task, then auto-deleted. For reliability, that's really the core of what we built. Tasks aren't marked done until every step is verified, agents self-heal when things break.
More detail here if you want to dig in: docs.incredible.one/agents/agent-max
Congrats on the launch! The engineering behind reducing hallucinations and boosting memory is seriously impressive, especially for tasks that span hours instead of minutes. How did you approach testing reliability across so many different integrations?
Incredible
@vik_sh Hey Viktor! We do automatic testing across all apps -
we built something we call "LFAs" = language friendly APIs. It lets us convert MCPs/any standard API format e.g. OpenAPI into a very LLM friendly representation & then we can auto-test features & an AI fixes incorrect params if the documentation was incorrect.
This happens in the background continuously.
I love the "vibe-automation" trend! 🔥
Incredible
@pasha_tseluyko 💯
miingl
How's the automation for organic content generation?
Incredible
@jake_strack Hey Jack!
We’ve got integrations to automatically post to both LinkedIn X, and more!
Veo3 etc exists, and native generation of images/video is being added with file support in coming days!
colleague
Congrats on the launch! Awesome work with the Agent Max! Exciting stuff