Insights · Research · Field Notes

Enterprise AI, explained for builders and buyers. Page 5 of 29

Practical writing on governed agent orchestration, on-premise AI, compliance, and the infrastructure decisions that separate pilot projects from production platforms.

261 Articles
39 Topics
12 Featured
A laptop on a wooden desk with its screen split into several tiled terminal and editor panes, next to a potted cactus and a coffee cup
AI Platforms 13 min read

Hermes Agent vs Claude Code vs OpenCode (2026): Agent Harnesses Compared

Hermes Agent, Claude Code and OpenCode compared from their own documentation, with OpenClaw alongside: licence, models and local inference, approval defaults, sandboxing, MCP, subscription rules and list prices, checked in October 2026.

#Hermes Agent#Claude Code#OpenCode
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A hand gesturing over printed charts and a calculator on a desk, in front of a large monitor showing a chart, the kind of review where evaluation scores for a language-model release are compared
AI Infrastructure 12 min read

LLM Evaluation Tools (2026): Open-Source Frameworks Compared

promptfoo, DeepEval, Ragas, OpenAI Evals, lm-evaluation-harness, Inspect, MLflow, Langfuse, Arize Phoenix and TruLens compared from their repositories and docs in October 2026: licence, maintenance, offline and online evaluation, RAG and agent metrics, LLM-as-a-judge and CI integration.

#AI evaluation#open-source AI#AI governance
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An engineer holding a laptop beside a row of server cabinets in a data centre corridor, representing a company running Mistral models on its own infrastructure
AI Infrastructure 11 min read

Mistral On-Premise: Open Models, Self-Deployment and Licensing (2026)

Mistral AI publishes some of its strongest models under Apache 2.0 and keeps others behind a revenue-capped or commercial licence. This guide sorts the October 2026 lineup by licence, explains Mistral's own self-deployment offers and data terms, sizes the GPUs each open model needs, and gives the vLLM, llama.cpp and Ollama steps to serve them.

#Mistral#open-weight models#local LLM
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Black network cables plugged into the ports of a rack-mounted switch, a reminder that interconnect and power, not only GPU memory, separate a PCIe workstation card from an SXM data-centre GPU
AI Infrastructure 14 min read

RTX PRO 6000 vs H100 vs H200 vs B200 for LLM Inference (2026)

NVIDIA's RTX PRO 6000 Blackwell, H100, H200 and B200 compared from NVIDIA's own datasheets: memory, bandwidth, FP8 and FP4 Tensor Core throughput, NVLink or PCIe, power and form factor, plus sessions-per-GPU arithmetic and bandwidth-bound speed ceilings for 32B and 70B models.

#AI infrastructure#GPU capacity planning#LLM inference
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Two colleagues in business clothes reviewing a printed document together in an office, representing a company drafting and approving its AI acceptable use policy
AI Governance 13 min read

AI Acceptable Use Policy Template: A Company AI Policy You Can Copy (2026)

A company AI policy you can copy and adapt: model wording for approved and prohibited tools, data classification, human review, customer disclosure under EU AI Act Article 50, AI literacy under Article 4, confidentiality, incident reporting, exceptions and review, with a rollout plan and a one-page checklist.

#AI governance#AI policy#EU AI Act
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Five colleagues working on laptops at shared desks with plants and screen dividers in a bright open-plan office, the kind of staff an internal ChatGPT-style assistant is rolled out to
Implementation Guide 9 min read

How to Build an Internal ChatGPT for Your Company: Three Routes and a Checklist

Staff already use ChatGPT, often on personal accounts. This guide compares three ways to give them an internal ChatGPT instead: buy business seats, assemble an open-source stack, or deploy a platform on your own infrastructure. It ends with a build checklist.

#private AI#private RAG#local LLM
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A person holding a pencil over an open notebook while working a calculator beside a laptop stand and printed bar charts, like a buyer totting up a year of ChatGPT and Copilot seats
Enterprise AI Economics 9 min read

ChatGPT Enterprise Pricing in 2026: Seat Costs vs Copilot and Private AI

OpenAI does not publish a ChatGPT Enterprise price. This guide sets out what it does list as of October 2026, a seat-cost table for ChatGPT Business and Microsoft 365 Copilot at 50, 200 and 1,000 users, and what drives the cost of running a private assistant instead.

#AI platform TCO#AI procurement#enterprise AI investment
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An engineer at a desk studies a 3D CAD model of plant piping on one monitor and a site drawing on a laptop, the kind of technical data defense contractors must keep inside a CMMC-assessed environment when they use AI tools
AI Compliance 11 min read

CMMC Compliant AI Tools: Can Defense Contractors Use ChatGPT or Copilot with CUI?

No AI tool is CMMC certified on its own. Whether ChatGPT, Microsoft 365 Copilot, Azure OpenAI or a private model may touch CUI depends on where it runs, and this guide maps each option against DFARS 252.204-7012, ITAR and the CMMC status as of October 2026.

#CMMC#AI compliance#regulated AI
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A row of European Union flags on tall poles in front of a large glass office building, used here to represent the EU data protection rules that decide which AI tools an organisation can use
AI Compliance 14 min read

GDPR Compliant AI Tools in 2026: A Checklist for Chatbots, Agents and Providers

No AI tool is GDPR compliant on its own. This guide gives a checklist tied to the articles of the GDPR, explains where the EU-US Data Privacy Framework stands, and compares four kinds of AI tools on facts their vendors publish.

#GDPR#AI compliance#data sovereignty
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