11 articles
Kimi K3.1 Pro for production AI teams: Artificial Analysis Intelligence Index rank and cost per task, benchmarks against Claude Opus 5.5, $2/$10 pricing, API changes and an open-weight readiness plan.
Gemini 4 Argon for production AI teams: benchmarks against GPT-6 Astra and Opus 5.5, pricing that doubles after launch, 1M output tokens and a readiness plan.
Tensorplay launches Rêver Studio, an online client gallery for photographers in India with 40+ themes, AI face grouping and AI culling that flags duplicates, blur and closed eyes. Start free with 5 GB.
The AI news from September 2026 that matters to teams shipping AI: Claude Opus 5.5, GPT-6 Sol and Luna pricing, OpenAI's Agents API, Plugin4Shell, California's new AI laws and a migration checklist.
TypeSafe's Jev explained for production AI teams: typed Choice, Score and Noul answers, confidence gating, $0.042 per million input tokens, and the caveats in its benchmarks.
How to evaluate, route and govern OpenAI's GPT-6 Astra in production: pricing, refusal behaviour, reduced reasoning visibility, agent risk and a migration plan.
Learn the MLOps foundation for reliable AI products, including versioning, evaluation, deployment controls, observability, incident response, and ownership.
An AI production readiness checklist: why LLM prototypes fail, and how to check evaluation, failure handling, observability, security, cost and rollout.
An honest breakdown of why AI proof-of-concept projects take longer than expected to reach production, and how to plan realistically.
Learn how to threat model AI applications and address prompt injection, data leakage, insecure tools, and model-specific attack paths.
Learn practical patterns for building reliable AI-powered APIs, from streaming responses and validation to observability and cost control.