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Why most AI pilots never reach production
Almost every company is running AI pilots. Very few have put one into production. The gap is not the model — it is everything around it.
Insights
Notes from the build.
Field notes from shipping production AI — what works, what breaks, and what we'd do differently. Practical writing from the senior engineers doing the work, on getting AI out of the pilot stage and into systems you can trust.
AI agents vs chatbots: what’s actually different
A chatbot responds to a prompt and stops. An AI agent plans a goal, uses tools to carry it out, checks the result, and keeps going until the task is done. The dividing line is autonomy.
ByteTuned Editorial TeamJune 4, 2026
What is RAG (retrieval-augmented generation), and how does it work?
RAG makes an LLM answer from your data instead of only its training. Before the model writes, a retrieval step finds the most relevant passages and adds them to the prompt — so the answer is grounded in real, current facts.
ByteTuned Editorial TeamMay 28, 2026
RAG vs fine-tuning: which one does your problem need?
Use RAG when the problem is missing knowledge — facts that change or that the model never saw. Use fine-tuning when the problem is behavior — a tone, format, or decision pattern. They solve different problems, and the best systems use both.
ByteTuned Editorial TeamMay 21, 2026
How to evaluate a RAG system: the metrics that matter
Evaluate a RAG system in two halves: did retrieval fetch the right context, and did the model answer faithfully from it? Measure retrieval with context precision and recall, generation with faithfulness and answer relevancy — against a fixed set of test cases.
Nabeel GhafoorMay 14, 2026
How to reduce LLM hallucinations in production
You cannot fully eliminate hallucinations, but you can drive them down with layers: ground the model in retrieved facts, constrain it with low temperature and structured output, validate with guardrails and an LLM judge, and measure the rate with evals.
Nabeel GhafoorMay 7, 2026
Shipping a grounded RAG assistant in two weeks
A field report on scoping, retrieval quality, and the evals that let us put a retrieval-grounded assistant in front of real users — fast.
Nabeel GhafoorApril 22, 2026
The Tuned Pod: a senior team amplified by agents
How a small, senior team using AI agents ships what used to take a team three to four times its size — and keeps it running.
ByteTuned Editorial TeamApril 8, 2026
How to cut LLM costs in production
Most production LLM bills can be cut 60–80% without hurting quality, because most requests are easy and do not need your most expensive model. The big levers: route to smaller models, cache repeated prompts, right-size, and trim context.
Nabeel GhafoorMarch 25, 2026