The Studio Log
Notes on applied AI, operational software, and the craft of building calm tools for high-context work.
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Getting Started with MAIFlow
From first login to a fully scored queue: a practical walkthrough of setting up your first flow in MAIFlow.
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Introducing the MAIFlow Founding Member Program
We're opening early access to a small number of teams who want to shape MAIFlow's roadmap directly, with founding pricing locked in for life.
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MAIFlow in the Field: Four Real-World Use Cases
From incident response to underwriting queues, here's how teams outside the software world are using MAIFlow to stop sorting by hand and start trusting the queue.
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Connecting MAIFlow to Your AI Workflows with MCP
MAIFlow now speaks MCP, which means the same scoring and flow context your team sees in the app is available directly to the AI agents already doing your work.
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MAIFlow's Score Engine, Explained
A plain-language walkthrough of how MAIFlow turns urgency, impact, blockers, and staleness into the single number that decides what shows up at the top of your queue.
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Why Manual Task Sorting Kills Productivity
Every minute spent re-triaging a backlog by hand is a minute not spent on the work itself. Here's what manual sorting actually costs operational teams.
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The case for calm software
Most operational tools compete for attention. We think the opposite is the better design constraint — and it changes how you build with AI.
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Applied AI is not a chatbot
Chat interfaces are the easiest way to ship AI, and often the wrong one. Here's how we think about where a model belongs in a workflow.
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Inside MAIFlow's scoring engine
A look at how MAIFlow turns raw task metadata into a single, defensible priority ranking — and why we avoided a single 'AI magic' score.
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Designing interfaces for expert operators
Domain experts are not casual users. Interfaces built for them should look almost nothing like consumer software — here's why.