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Workstation AI Insights

A living engineering knowledge base for the AI era

Articles, reproducible benchmark methodology, architecture diagrams and model-selection guidance for engineers, architects and technical leaders. Not a product announcement blog — an independent editorial lab.

Audience Software, AI and platform engineers · CTOs · architects · agent developers · technical foundersLandscape cutoff 26 September 2026
Open the Jev seriesBenchmark lab

Series: Jev & the next generation of AI automation

Ten chapters that investigate specialised decision models, agent harnesses, routing, safety and the changing economics of inference — without treating vendor headlines as independent facts.

  1. What Is Jev?A plain-language map of System One decisions vs text generation.
  2. System One vs LLMsWhere each class of model earns its keep.
  3. Why Agent Harnesses Need Fast DecisionsLatency compounds inside the agent loop.
  4. Building a Jev Agent HarnessWorkstation’s reference architecture for planners, routers and gates.
  5. Jev Benchmark LabMethodology, cited results and interactive charts.
  6. Model RoutingWhen intelligent routing helps — and when it does not.
  7. AI Guardrails & Tool SafetyAllow / deny / escalate before the tool runs.
  8. The Model Selection ManualEvergreen workload-based selection, not a best-model ranking.
  9. How AI Models Are EvolvingSpecialisation, orchestration and economics — not only scale.
  10. The Future of AI AutomationWhat cheaper intelligence unlocks — and what still breaks.

Labs & evergreen guides

Hands-on surfaces that stay versioned as models change.

Long-form

Jev and the new AI stack

5,000+ word engineering deep dive with architecture, citations and limitations.

Lab

Interactive benchmark dashboard

Compare systems by metric with source kind filters.

Guide

Model selection matrix

Map workloads to candidate model types and key metrics.

Timeline

Model evolution

From LLMs to composable AI systems with dated sources.

Field guide

NVIDIA AI data centre guide

Business case, Blackwell and NVLink deep dive, sizing maths and four reference set-ups.

What AI Insights covers

A technical publication spanning the stack builders actually ship.

AI models & LLMs

Reasoning models

AI agents & harnesses

MCP

Model routing

AI automation

RAG & vector databases

Inference economics

Evaluation

AI security

AI infrastructure

Autonomous software development

Emerging AI architectures

Connect Insights to the Workstation ecosystem

Read the research, then jump into agents, apps and jobs.

Agents

AI Agents

Productised agent capabilities.

Showcase

AI Automation

Automation pathways and packages.

Jobs

Jobshout

Roles across the AI ecosystem.

Teams

Partners

Organisations building with Workstation.