Creuto: AI Technology & Product Insights
Stay informed with practical insights from the Creuto team on artificial intelligence, custom software, mobile applications, SaaS development, product engineering, technology trends, and digital transformation.
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GPT-6 Sol at $2: OpenAI halved the price of a good model
OpenAI released GPT-6 Sol and GPT-6 Luna on 22 September 2026 at half the rates of the models below them. We work out which workloads should move, what the cached-input rate does to the maths, and what to re-test first.
Akash Mohapatra
Sep 23, 2026
Jev intent routing: send each request to the right handler
TypeSafe's intent routing pattern, built end to end: two questions, one confidence floor, three fallbacks, and the arithmetic that says whether a classifier in front of your handlers actually pays for itself.
Akash Mohapatra
Sep 22, 2026
Jev tutorial: your first API call in under ten minutes
A step-by-step Jev tutorial using TypeSafe's own quick start: the Playground, an API key, the cURL request, the typed response, the Python and JavaScript SDKs, and the errors you hit on the first run.
Akash Mohapatra
Sep 22, 2026
What is Jev? TypeSafe's System One model in plain English
Jev is TypeSafe AI's first System One model: text and typed questions in, typed answers with probabilities out. A beginner's guide to what it does, what it accepts, and the things it will not do.
Akash Mohapatra
Sep 22, 2026
Jev question types: Choice, Score and Noul with examples
Choice, Score and Noul are the three question types Jev answers. What each one returns, when to pick it, the 255 option ceiling, and how to ask several questions in a single call.
Akash Mohapatra
Sep 22, 2026
Jev prompt examples: questions that work, and why
Jev has no prompt to tune, only questions to define. Four copy-paste question sets for support triage, moderation, lead scoring and intent routing, plus the six rewrite rules that fix a vague instruction.
Akash Mohapatra
Sep 22, 2026
Jev Python SDK: install, ask questions, handle errors
The Jev Python SDK returns typed decisions, not text. Install it, choose the sync or async client, define questions as objects or dictionaries, and handle rate limits, timeouts and connection failures with the retry policy it ships with.
Akash Mohapatra
Sep 22, 2026
Jev confidence vs probability: when not to trust it
Jev returns a probability distribution and a confidence value, and they answer different questions. What confidence cannot tell you, and how to derive thresholds from labelled data instead of copying a vendor example.
Akash Mohapatra
Sep 22, 2026
Jev use cases: where a decision model fits in real software
TypeSafe lists nineteen industries for Jev and only ten decision shapes underneath them. Here are the shapes that pay, what the smart home demo teaches about pairing with an LLM, and the two cases where a rules engine or a language model still wins.
Akash Mohapatra
Sep 22, 2026
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