The Gezora blog
Practical writing on automating real operations work, from deciding what to automate first to what actually changes once an agent is running. Written by the team that deploys them, for operators doing the deciding.
Counting and identifying food plant workers on the servers the plant already owns
How Gezora.ai designed an on premises computer vision system for Unilever Pakistan Foods, and brought its cost down by more than 90% without dropping a single function.
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AI project management software: what it can predict and what to ask a vendor
What AI project management software can read, what it can predict, and the questions to put to a vendor before you buy.
LLM fine tuning vs RAG: how to tell which one your problem needs
LLM fine tuning vs RAG: what each one changes, why prompting comes first, and the questions that tell you which one your problem needs.
Computer vision solutions for retail and manufacturing: what to measure first
What computer vision solutions can count, inspect and detect in retail and manufacturing, where they struggle, and how to test one on your own footage.
Custom AI agent development: when to build and when to buy
A guide to custom AI agent development: when building your own makes sense, what you need before a build starts, and how to scope the first agent narrowly.
Types of data sources for RAG systems and which to connect first
The common types of data sources for RAG systems, what tends to go wrong with each, and a sensible order for connecting them.
An AI readiness assessment framework you can run in a week
A plain AI readiness assessment framework: five questions to ask about each process, a simple way to score them, and what a low score tells you to fix first.
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