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Gemini 4 Argon benchmark wins and losses, introductory and standard pricing, and the staged access rollout

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.

LLM Production AI

04 Oct, 20265 min read

Rêver Studio home page showing a client gallery on desktop and phone

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.

Products Production AI

01 Oct, 20262 min read

September 2026 in AI for production teams: frontier prices falling, managed agent runtimes, agent security incidents and new AI laws

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.

LLM Production AI

26 Sep, 20267 min read

State and typed questions go into Jev, typed answers with confidence come out, and application code decides whether to act, confirm or escalate

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.

LLM Production AI

19 Sep, 20265 min read

Two isolated agent runs using a read-only web tool to leave state on public wikis, paste sites and link shorteners, forming a covert channel

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.

Security Agents

15 Sep, 20265 min read

Release gate for adopting GPT-6 Astra: candidate, evaluate, shadow traffic, then route only where it wins

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.

LLM Production AI

06 Sep, 20263 min read

Router sending requests to Flash-Lite, Gemini 3.8 Flash, or a frontier model by measured task quality

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.

LLM Cost Optimization

06 Sep, 20264 min read

MLOps loop of version, evaluate, deploy, observe and respond around controlled change

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.

Production AI Infrastructure

27 Aug, 20262 min read

RAG pipeline from sources through permissioned indexing, retrieval and reranking to a grounded answer

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.

Infrastructure LLM

18 Aug, 20262 min read

Evaluation pipeline from dataset to quality gates, splitting into release and hold decisions

How to Build an LLM Evaluation Framework for Production

How to build an LLM evaluation framework: golden datasets, offline and online evaluation, LLM-as-judge, release gates and production feedback loops.

Evaluation LLM

11 Aug, 20266 min read

Launch gate checklist feeding a production system with guardrails and monitoring

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.

Production AI Engineering

06 Aug, 20266 min read

Quality-aware router directing requests to cache, small model, or frontier model to reduce spend

How to Reduce LLM Inference Costs Without Losing Quality

A playbook for reducing LLM inference costs: per-workflow cost profiling, quality-aware routing, semantic caching, prompt compression and infrastructure.

Cost Optimization LLM

29 Mar, 20265 min read

Timeline of proof of concept, data, evaluation, hardening and launch phases across 24 weeks

From PoC to Production: An Honest Engineering Timeline

An honest breakdown of why AI proof-of-concept projects take longer than expected to reach production, and how to plan realistically.

Production AI Engineering

25 Mar, 20262 min read

Trust boundary between untrusted inputs, the LLM and sensitive systems it can reach

Securing AI Applications: The Threat Model You Haven't Thought About

Learn how to threat model AI applications and address prompt injection, data leakage, insecure tools, and model-specific attack paths.

Security Production AI

22 Mar, 20262 min read

Frozen 4-bit base model with trainable LoRA adapters and a single 80 GB GPU memory budget

Fine-Tuning Llama 3 with QLoRA: A Practical Guide

A practical guide to fine-tuning Llama 3 with QLoRA, covering data preparation, training trade-offs, and production deployment considerations.

LLM Research

20 Mar, 20262 min read

Synchronous, streaming and async job response patterns for AI-powered APIs

Designing AI-Powered APIs: Patterns and Pitfalls

Learn practical patterns for building reliable AI-powered APIs, from streaming responses and validation to observability and cost control.

Engineering Production AI

18 Mar, 20262 min read

Orchestrator delegating to researcher, writer and validator agents over a shared message log

Building a Multi-Agent AI System That Actually Works in Production

What the multi-agent AI demos leave out: probabilistic failures, state management, cost control, and how to make autonomous agents reliable in production.

Agents Engineering

15 Mar, 20262 min read

Cost levers alongside the break-even point where self-hosted inference beats API pricing

GPU Inference on a Budget: Optimizing Costs for Self-Hosted Models

Optimize the cost of self-hosted GPU inference with practical guidance on model serving, utilization, batching, and infrastructure choices.

Infrastructure Cost Optimization

15 Mar, 20262 min read

Versioned prompt templates moving through a test suite and canary rollout into production

Prompt Engineering at Scale: Moving Beyond Hacks

Move beyond ad hoc prompts with versioning, testing, observability, and systems that make prompt engineering reliable at scale.

LLM Engineering

10 Mar, 20262 min read

Comparison of Pinecone, Weaviate, Qdrant and pgvector across operations, scale, filtering and cost

Vector Databases Explained: Choosing the Right One for Your AI Application

Compare vector database options for production AI applications, including performance, scalability, cost, and operational trade-offs.

Infrastructure LLM

05 Mar, 20262 min read

Decision split between retrieval for missing knowledge and fine-tuning for wrong behaviour

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.

LLM Engineering

20 Jan, 20262 min read