The operator's roadmap for AI in 2026

What’s keeping AI from doing real work—and how to fix it

Dec 27, 2025 • Justin Norris

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October 2025

Why your AI agent keeps hallucinating (even when you tell it not to)

I realized my prompt was actually encouraging the model to make stuff up

Oct 28, 2025 • Justin Norris

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More Agents, Worse Results: When Simple Beats Sophisticated

What I learned when my multi-agent system produced worse results than the "simple" approach.

Published on Applied AI for Marketing Ops | Lily Luo • Oct 28, 2025

How to build reliable AI workflows

Think of them as industrial assembly lines, not autonomous digital workers

Oct 12, 2025 • Justin Norris

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August 2025

From call recordings to marketing attribution: a step-by-step guide

Turn your call recordings into an insights engine with this AI workflow

Aug 27, 2025 • Justin Norris

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Automation patterns: how tables turn workflows into systems

Unlock statefulness, flexibility, and scalability by anchoring your workflows in tables

Aug 7, 2025 • Justin Norris

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July 2025

Real-world agents: a production-grade Salesforce agent for CPQ quoting

A four-month journey putting Agentforce to the test

Jul 30, 2025 • Bastien Decouvelaere

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Choosing the right AI coding tool

Can a non-developer write production code with AI?

Jul 26, 2025 • Justin Norris

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Real-world agents: person-to-account matching

Can AI agents solve one of the messiest CRM problems?

Jul 15, 2025 • Justin Norris

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Three things worth reading

Managing agent memory / building reliable AI applications / justifying AI project ROI

Jul 11, 2025 • Justin Norris

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Documenting with AI (part 2): data flow diagrams

How to generate clean and maintainable diagrams in minutes with Mermaid

Jul 6, 2025 • Justin Norris

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When in doubt, ask the model

Sometimes really good ideas come from asking the model to self-diagnose

Jul 3, 2025 • Justin Norris

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