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Blog Archive

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Multi-Agent SystemsLLM EngineeringAI in ProductionAgentic WorkflowsHard LessonsClient Stories
Multi-Agent SystemsLLM EngineeringAI in ProductionAgentic WorkflowsHard LessonsClient Stories
AI Security - Product
11/05/26

Prompt Injection Is a Product Requirement.

Prompt injection is not only a security concern. It is a product requirement for every AI feature that reads untrusted user or web content.

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AI Architecture - RAG
11/05/26

RAG Is a Memory System, Not a Magic Folder.

Retrieval-augmented generation fails when teams treat it like a document dump instead of designing memory, ranking, freshness, and trust.

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AI Product - UX
11/05/26

Your AI Feature Does Not Need a Chatbot.

Not every AI product should become a chat window. The best interface is often a button, workflow, checklist, or quiet automation.

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AI Reliability - Operations
11/05/26

Your AI System Needs an Error Budget for Weirdness.

AI reliability needs more than uptime. Teams need to track weird outputs, low-confidence actions, review load, and recovery paths.

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AI Agents - Operations
10/05/26

Your AI Agent Needs a Manager, Not a Bigger Model.

Most broken AI agents do not need a stronger model. They need scope, review, escalation rules, and someone responsible for the mess.

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AI Workflow - Guardrails
09/05/26

Stop Letting Agents Freestyle Production Work.

AI agents need playbooks, not open-ended permission to improvise across production code, tests, commands, and deployment paths.

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AI Workflows - Architecture
08/05/26

The Best AI Workflow Is Mostly Boring Plumbing.

The useful parts of AI workflow automation are often routing, state, retries, logs, permissions, and handoffs rather than dramatic model magic.

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AI Engineering - Real Talk
12/03/26

My AI Intern Needs Coffee, Not More Permissions

A warm and mildly chaotic story about giving your AI agent just enough power to be useful, but not enough to email your CFO.

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AI Engineering - Production Readiness
08/03/26

Your AI Agent Passed Review. It Still Wasn't Ready.

A practical scorecard for AI agent readiness that combines code review quality, ROI signals, governance controls, and production operating metrics.

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AI Code Review - Quality
21/02/26

AI Code Review with Agents: Faster Reviews Without Lowering Standards

How to run AI code review with agents in real engineering teams: review scopes, scoring thresholds, guardrails, and handoff patterns that improve quality.

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