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Ejentum - Reasoning Harness
Stop your AI agent drifting, flattering, and fabricating.
Ejentum shapes how your AI agent reasons before it answers. One API call returns an engineered cognitive operation: the failure to avoid, a procedure, the shortcuts to suppress, a self-check it must pass. 679 across four harnesses (reasoning, code, anti-deception, memory), via a hosted MCP and 13 integrations. New in this launch: adaptive mode tailors the operation to your exact task, rewriting every reasoning step to fit the problem in front of you instead of a dynamic matched cognitive op.
You've seen it: your agent sounds sure, reads clean, and is confidently wrong, three decisions deep before you notice. No stack trace for that.
Most fixes land after the model reasons. Ejentum works before: it returns an engineered cognitive operation the agent reads first, the failure to avoid, the shortcuts to suppress, a self-check it must pass. Adaptive mode now rewrites it to fit your exact task.
Point it at the task that's burned you, and tell me where it held.
We’ve seen a lot of AI code review setups fail in a very human-looking way: they sound thoughtful, they mention a few obvious risks, and then they still approve the thing that deserved a harder look.
That is why I like the harness approach here. It adds structure before the model starts “reviewing,” so the agent is pushed to check reasoning quality, implementation details, and framing issues separately instead of blending everything into one polite answer.
We tried this pattern in Heym with an adversarial code review workflow, and it made the review feel much less like generic LLM commentary and much more like a disciplined review process.
Really happy to see this launch. The category needs more work like this.
Congrats to the Ejentum team on the launch.
We’ve been working with Ejentum as a partner at Heym, and this is one of the harder problems in real AI automation: keeping agents from drifting, flattering the user, or fabricating while a multi-step workflow keeps moving.
What I like about Ejentum is that the harness is not just another prompt layer. It gives agents a more disciplined reasoning posture before they act, with concrete failure modes to avoid and checks to pass.
We’ve tested this inside Heym workflows and templates, and the feedback has been genuinely strong. The Blind Eval Trio template is a good example of the pattern in practice: three cross-lab agents evaluate a decision independently, each with a different Ejentum harness, then the user integrates the raw perspectives instead of trusting one smoothed-out answer.
Big congrats to the team. This is a serious contribution to making agentic workflows more reliable.
Congrats on launching a decent product. 'No stack trace for that' is the line that lands! I was wondering - how do you verify the op actually ran versus the model just acknowledging it?
This caught my attention because I've experienced versions of this while learning automation and AI workflows.
There have been times where I've had to stop, challenge the direction, clarify the objective, and drill down further before getting to the answer I was actually looking for.
That's why the idea of shaping the reasoning process before the answer is interesting to me.
Looking forward to seeing how it develops.
HUNTGO coupon is working and giving away 3 months of GO plan. Go and grab the api and give your agents the reasoning performance they need for their goals
About Ejentum - Reasoning Harness on Product Hunt
“Stop your AI agent drifting, flattering, and fabricating.”
Ejentum - Reasoning Harness was submitted on Product Hunt and earned 12 upvotes and 11 comments, placing #14 on the daily leaderboard. Ejentum shapes how your AI agent reasons before it answers. One API call returns an engineered cognitive operation: the failure to avoid, a procedure, the shortcuts to suppress, a self-check it must pass. 679 across four harnesses (reasoning, code, anti-deception, memory), via a hosted MCP and 13 integrations. New in this launch: adaptive mode tailors the operation to your exact task, rewriting every reasoning step to fit the problem in front of you instead of a dynamic matched cognitive op.
Ejentum - Reasoning Harness was featured in Productivity (653.8k followers), Developer Tools (514k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 334.4k products, making this a competitive space to launch in.
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