Why most AI assistants fail in the first month after launch
The problem isn’t the technology – it’s what happens after deployment. We share the three things that determine whether an assistant gets adopted or abandoned.
Insights on building AI assistants that actually work.
Practical thinking on workflows, AI design, and what it really takes to build assistants that teams use every day.
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From inbox chaos to clarity: how we built our own support assistant
A behind-the-scenes look at the assistant we built for our own team – the decisions we made, the mistakes we caught early, and what it looks like in production.
The difference between a chatbot and an AI assistant
A lot of teams think they want a chatbot. What they actually need is something that understands their workflow. Here’s how to tell the difference before you build.
How to scope an AI assistant project efficiently
Discovery before writing a single line of code is the most underrated phase. We walk through the exact questions we use to turn a vague brief into a working blueprint.
What 36 years of engineering taught us about building with AI
AI changes fast. Good software principles don’t. Here’s how we think about reliability, maintainability, and trust when building assistants for real teams.
The AI assistant use case hiding in plain sight in your company
Most teams have one workflow that’s repetitive, knowledge-heavy, and completely manual. Read this to understand how to spot it – and what you can do next.