Why we build for the task, not the tool
Most automation software makes you learn a new system. We think it should disappear into the work you already do.
Read postKnow all about AI, Automation, Engineering, and the tools we're building at ZeSol.
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How we're turning manual, repetitive work into software that runs itself.
Most automation software makes you learn a new system. We think it should disappear into the work you already do.
Read postThe fastest way to build the wrong automation is to skip this step. Here's the checklist we use internally.
Read postNot everything repetitive should be automated. A quick way to tell what's worth the effort.
Read postWhy we design every ZeSol tool to fail loudly, not silently — and what that looks like in practice.
Read postEngineering notes from the team building LockMind and the rest of the ZeSol stack.
The hardware-aware decisions behind LockMind's local inference, and where we still hit limits.
Read postSupporting any model on Hugging Face sounds simple. Here's what breaks first.
Read postNo account, no cloud calls, no usage caps. That's a harder promise to keep than it sounds.
Read postA short field guide to figuring out why someone else's model behaves strangely on your machine.
Read postWhat shipped, what changed, and what we're working on next.
Swapping between downloaded models is now near-instant. Here's what changed under the hood.
Read postRememberal and Supergo are still in development — here's an early look at where they're headed.
Read postA round of fixes for CUDA detection on mixed GPU setups, plus smaller performance tweaks.
Read postA rough look at the roadmap across desktop, mobile, and web.
Read postBehind-the-scenes thoughts on building ZeSol, from the team doing it.
Building LockMind to run entirely offline was the harder path. Here's why we took it anyway.
Read postOur mission is about making complex work simple for users. It doesn't always feel simple to build.
Read postWhat people actually asked for, versus what we expected them to ask for.
Read postSaying no to features is most of the job. Here's the filter we use.
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