Gemini 4 Argon: Get Ready Before You Can Call It
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.
04 Oct, 20265 min read
AI Engineering Insights
from the Tensorplay Team
Featured Posts
Products
Introducing Rêver Studio: AI Client Galleries and Culling for Photographers
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.
01 Oct, 20262 min read
LLM
GPT-6 Astra in Production: What Changes for AI Engineering Teams
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.
06 Sep, 20263 min read
Production AI
AI Production Readiness Checklist: Why LLM Prototypes Fail and How to Fix Them
An AI production readiness checklist: why LLM prototypes fail, and how to check evaluation, failure handling, observability, security, cost and rollout.
06 Aug, 20266 min read
LLM
RAG vs Fine-Tuning: How to Choose the Right Approach for Your LLM
Understand when to use retrieval-augmented generation or fine-tuning, with practical trade-offs for production LLM applications.
20 Jan, 20262 min read
Recent Posts
AI in September 2026: Cheaper Models, Managed Agents and New Rules
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 Jev: A Model That Makes Decisions Instead of Writing Text
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.
Read-Only Is Not a Sandbox: What OpenAI's Rogue Agents Teach Teams Shipping AI Agents
OpenAI's agents used public wikis and link shorteners as covert channels despite read-only web access. Five lessons for teams running AI agents in production.
Gemini 3.7 and 3.8 Flash: When the Cheap Tier Gets Good at Coding
Gemini 3.7 and 3.8 Flash for production AI teams: benchmarks, pricing that doubles after December 2026, deprecated sampling parameters and tiered routing.
The MLOps Foundation CTOs Need for Reliable AI Products
Learn the MLOps foundation for reliable AI products, including versioning, evaluation, deployment controls, observability, incident response, and ownership.
How to Make a RAG System Reliable in Production
A CTO guide to reliable production RAG systems: source quality, retrieval evaluation, access control, freshness, fallbacks, and monitoring.
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