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51 articles · page 1 of 6
Jev by TypeSafe AI is a generalized System-1 decision model built to make fast, structured decisions for software pipelines. By replacing token-by-token generation with single-pass choice scoring, Jev offers sub-second latency and calibrated confidence without task-specific fine-tuning.
Rajiv Kumar·Sep 19, 2026·7 min read
In many organizations, senior employees, department heads, managers, or other employees with defined Key Performance Indicators (KPIs) are required to periodically update their KPI records.
Rajiv Kumar·Sep 18, 2026·7 min read
Mathematics and programming often describe the same idea in two different languages.A mathematics textbook may write: A Python developer may write:y_hat = w1 * x1 + w2 * x2 + bBoth expressions…
Rajiv Kumar·Sep 16, 2026·6 min read
An LLM application fails in ways logs do not capture: the right tool called with the wrong argument, a retrieval that returned nothing useful, a prompt change that quietly broke two other cases. Tracing shows what happened; evaluation tells you whether a change helped.
Rajiv Kumar·Aug 26, 2026·10 min read
LangGraph models an agent as nodes, edges and a shared state object. That structure buys three things a plain agent loop cannot: a place to put state, control over what happens next, and the ability to resume a run that was interrupted.
Rajiv Kumar·Aug 19, 2026·9 min read
An AI coding session ends with a great deal of context in the conversation and none of it anywhere else. A short, structured handoff written at the end is what makes the next session start from where this one finished instead of from the repository.
Rajiv Kumar·Aug 11, 2026·11 min read
An AI assistant opening an unfamiliar repository has to infer everything, and inference produces confident wrong answers. A short brief that the assistant reads before touching anything is the cheapest quality control available.
Rajiv Kumar·Aug 11, 2026·10 min read
AI coding sessions end and take their context with them. The fix isn't a bigger context window — it's a small, disciplined set of files: what's true right now, what's already been decided, and a status marker on every claim so a plan never gets mistaken for a fact.
Rajiv Kumar·Aug 11, 2026·12 min read
A working prompt in a playground is not a system. Production needs a way to tell whether a change helped, a deployment model that matches the traffic, content filtering you have configured deliberately, and observability into what is being spent.
Rajiv Kumar·Aug 5, 2026·10 min read
Copilot Studio makes it easy to build an agent that answers from documents. The gap between that and something people rely on is scope, grounded answers, real actions, and knowing what the agent must refuse to do.
Rajiv Kumar·Jul 8, 2026·11 min read
