AI in practice
How AI actually changes the way we work
kiprozess.com follows the automation of business processes, makes sense of new models and shows what AI delivers in marketing today — clearly, without the hype.
In focus
Agents in the mid-market: what really happens after the pilot
Almost every company is running an AI pilot by now. Few make it into day-to-day operations. Why that is — and what the exceptions do differently.
Read articlesLatest articles
All articlesBuilding a small RAG system: what you actually need
A RAG system sounds like heavy infrastructure. For a small project, four building blocks are enough: documents, an embedding model, a vector database, and a language model. Here's how they fit together conceptually, using Google Gemini and ChromaDB.
Creative production: how much does AI really take over?
Generated creatives have become cheap. That did not reduce the work — it moved it. A look at where the bottleneck sits now.
Understanding context windows: why more is not automatically better
A million tokens sounds like the end of all limits. In practice it is not the size of the window that decides, but what sits inside it.
Evaluation over gut feeling: how to measure the quality of an AI system
“Feels better” is not a metric. How to build a test set that surfaces regressions before customers report them.
A new model generation: what actually reaches everyday work
Benchmarks climb every quarter. For most applications something else has long been decisive: latency, cost and reliability on boring tasks.
RAG in practice: why retrieval matters more than the model
Most disappointing knowledge assistants do not have a model problem. They simply retrieve the wrong documents — which is measurable and fixable.
By topic
Fundamentals
Concepts and context — explained for everyone who has to weigh in and decide.
2 articlesMarketing & AI
From creative production to ads and analytics: what AI measurably changes in marketing.
1 articleModels & research
New models, benchmarks and papers — filtered down to what survives contact with practice.
2 articlesProcesses & automation
How companies rebuild workflows with agents, pipelines and integrations — and where projects fail.
2 articlesTools
Tested tools for teams that work with AI instead of just talking about it.
0 articlesNews
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