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 agents for small businesses: where to start and what to skip
AI agents for small businesses: the jobs that suit an agent first, the ones to skip, how to pilot one, and what it costs to run.
What does a digital transformation consultant do, and how to choose one
What a digital transformation consultant does day to day, why so many programs disappoint, and how to choose between digital transformation consulting firms.
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.
What is an agentic workflow, and how is it different from RPA?
What is an agentic workflow? A plain explanation, a side by side comparison with RPA, and how to build one an agent can run safely.
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