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Stop Thinking in Tools
Why the tool is never the point, and what to focus on instead.
3 posts
The Tool Wasn't the Point
A sales team deployed AI to personalize outbound emails. Response rates climbed. Closed deals didn't. The tool created over 120 hours of new work per month that produced zero qualified leads — because the value was never in the tool.
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The Difference Between Relevant and Reliable
Most production failures get diagnosed as relevance failures. But many enterprise AI systems fail for a different reason: the model had access to the relevant information, and the surrounding system still produced the wrong outcome.
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What Actually Makes AI Work in Production
A model can interpret a request, draft a response, and still fail in production. Reliable AI systems need interpretation, boundaries, context, measurement, and human judgment working together.
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Subscribe to The Algorithm
Notes on building AI systems that actually work.