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Practical AI insights from engineers who build and operate production systems. No hype. No theory. Just what actually works.

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Featured article

Why Agentic AI Fails in Production (And How to Prevent It)
Agentic AI
Feb 20, 2025 12 min read

Why Agentic AI Fails in Production (And How to Prevent It)

Most agentic AI pilots fail not because the model isn't smart enough, but because of three systemic issues: unreliable tool execution, missing evaluation harnesses, and no human escalation design.

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RAG Evaluation: The Metrics That Actually Mattered in 2023–24
RAG
Feb 14, 2024 10 min

RAG Evaluation: The Metrics That Actually Mattered in 2023–24

RAGAS scores were a good starting point in 2023. The teams that avoided painful incidents added domain-specific metrics for faithfulness, context precision, and hallucination rate.

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Building Multi-Agent Systems That Don't Break in Production
Agentic AI
Jan 20, 2024 14 min

Building Multi-Agent Systems That Don't Break in Production

Multi-agent demos exploded in 2023. The ones that survived contact with production all had the same traits: supervisor patterns, typed shared state, and ruthless failure handling.

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The Data Readiness Checklist Before Your First AI Deployment
Strategy
Dec 5, 2023 13 min

The Data Readiness Checklist Before Your First AI Deployment

Most AI projects that stalled between 2022–24 didn’t have a model problem. They had an accessibility, governance, or freshness problem in the data.

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Designing Human-in-the-Loop Workflows for AI Agents
Agentic AI
Jan 10, 2025 13 min

Designing Human-in-the-Loop Workflows for AI Agents

Between 2022 and 2025, the most successful AI teams stopped talking about replacing humans and focused on designing great human-in-the-loop workflows instead.

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LLMOps in 2024: What Was Actually Production-Ready
LLMOps
Nov 18, 2024 14 min

LLMOps in 2024: What Was Actually Production-Ready

Observability, evaluation, and cost tracking for LLMs matured fast between 2022–24. The hard part in 2024 was not tooling - it was picking a minimal, coherent stack.

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AI Change Management: What 2022–24 Taught Us About Adoption
Strategy
Oct 30, 2024 13 min

AI Change Management: What 2022–24 Taught Us About Adoption

The success of AI initiatives between 2022–24 correlated far more with change management than model choice. Teams that felt involved adopted faster and pushed harder.

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Cost Optimisation for LLM Workloads Without Killing Quality
LLMOps
Sep 18, 2024 13 min

Cost Optimisation for LLM Workloads Without Killing Quality

From 2023–24 we saw AI bills spike - and then drop by 40–60% - when teams added basic observability, routing, and context hygiene.

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Latency and UX in LLM Products: Lessons from 2023–24
Engineering
Aug 22, 2024 13 min

Latency and UX in LLM Products: Lessons from 2023–24

LLMs are slower than traditional APIs, but users are surprisingly tolerant when the UX is honest, responsive, and designed around perceived speed.

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What We Learned Reviewing 50+ AI Vendor Pitches (2022–2025)
Strategy
Jul 30, 2025 13 min

What We Learned Reviewing 50+ AI Vendor Pitches (2022–2025)

Between 2022 and 2025 we sat on both sides of the table for AI vendor pitches. The patterns that separated serious partners from slideware were surprisingly consistent.

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Designing an Enterprise AI Operating Model (2023–2025)
Enterprise AI
Jun 10, 2025 13 min

Designing an Enterprise AI Operating Model (2023–2025)

From 2023 to 2025, the most successful enterprises stopped treating AI as a side project and gave it a real operating model: clear ownership, budget, guardrails, and roadmaps.

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RAG Patterns That Worked Across Legal, Banking, and SaaS
RAG
May 2, 2024 13 min

RAG Patterns That Worked Across Legal, Banking, and SaaS

Between 2022 and 2024 we implemented RAG systems in legal, banking, and B2B SaaS. The architectures looked different, but the success patterns were surprisingly consistent.

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How AI Changed the Way Software Consultancies Deliver
Consulting
Apr 18, 2025 13 min

How AI Changed the Way Software Consultancies Deliver

From 2022–25, the best software consultancies quietly re-wrote their own delivery playbooks with AI: better discovery, faster prototyping, and more honest scoping.

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Prompting, RAG, or Fine-tuning? How Teams Actually Decided (2022–2024)
LLM
Mar 6, 2024 13 min

Prompting, RAG, or Fine-tuning? How Teams Actually Decided (2022–2024)

In theory, you could solve most problems with any combination of prompting, RAG, or fine-tuning. In practice, the constraints of 2022–24 pushed teams toward specific patterns.

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Open vs Proprietary LLMs in 2024: How Enterprises Actually Chose
LLM
Feb 14, 2024 13 min

Open vs Proprietary LLMs in 2024: How Enterprises Actually Chose

The 2024 debate about open versus proprietary models was loud. In real enterprise projects, the decision came down to data sensitivity, latency, quality, and who would run the infra.

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Designing AI Systems for Risk and Compliance Teams (2022–2025)
Enterprise AI
Jan 26, 2025 13 min

Designing AI Systems for Risk and Compliance Teams (2022–2025)

Risk and compliance teams in 2022–25 didn’t want magic. They wanted tools that surfaced signals, preserved audit trails, and respected existing controls.

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AI Copilots for Software Engineers: Beyond Autocomplete
Engineering
Nov 30, 2024 13 min

AI Copilots for Software Engineers: Beyond Autocomplete

From 2022–24, AI coding tools moved from autocomplete novelties to opinionated copilots. The biggest wins came when teams designed them around real workflows, not demos.

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LLM-as-a-Judge in Practice: How We Used It Safely (2023–2025)
LLMOps
Oct 2, 2024 12 min

LLM-as-a-Judge in Practice: How We Used It Safely (2023–2025)

LLM-as-a-judge emerged as a powerful evaluation tool in 2023–24 - and a dangerous one when used without calibration, guardrails, and human baselines.

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AI in Customer Operations: Lessons from 2022–2025 Rollouts
Enterprise AI
Sep 14, 2025 13 min

AI in Customer Operations: Lessons from 2022–2025 Rollouts

Customer operations teams were among the first to see AI in production at scale. The patterns that stuck were surprisingly conservative - and very effective.

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Enterprise AI 2022–2025: A Retrospective Playbook
Enterprise AI
Aug 1, 2025 14 min

Enterprise AI 2022–2025: A Retrospective Playbook

Looking back at 2022–25, a clear playbook emerged for enterprise AI: start small but serious, invest in evaluation and governance early, and treat AI as a capability, not a gadget.

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Evaluating AI Pilots Before You Scale: Lessons from 2022–2025
Enterprise AI
Sep 12, 2025 12 min

Evaluating AI Pilots Before You Scale: Lessons from 2022–2025

The hardest decision in 2022–25 AI programmes wasn’t "can we build a pilot?" - it was "should we scale it?" A simple evaluation frame turned hand‑wavy excitement into clear calls.

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