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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
•
Justin Norris
4
2
3
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
How to build reliable AI workflows
Think of them as industrial assembly lines, not autonomous digital workers
Oct 12
•
Justin Norris
5
2
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
•
Justin Norris
2
Automation patterns: how tables turn workflows into systems
Unlock statefulness, flexibility, and scalability by anchoring your workflows in tables
Aug 7
•
Justin Norris
2
2
1
July 2025
Real-world agents: a production-grade Salesforce agent for CPQ quoting
A four-month journey putting Agentforce to the test
Jul 30
•
Bastien Decouvelaere
2
1
Choosing the right AI coding tool
Can a non-developer write production code with AI?
Jul 26
•
Justin Norris
2
1
Real-world agents: person-to-account matching
Can AI agents solve one of the messiest CRM problems?
Jul 15
•
Justin Norris
1
6
1
Three things worth reading
Managing agent memory / building reliable AI applications / justifying AI project ROI
Jul 11
•
Justin Norris
4
1
Documenting with AI (part 2): data flow diagrams
How to generate clean and maintainable diagrams in minutes with Mermaid
Jul 6
•
Justin Norris
1
When in doubt, ask the model
Sometimes really good ideas come from asking the model to self-diagnose
Jul 3
•
Justin Norris
5
1
Documenting with AI (part 1)
Using ChatGPT projects to create comprehensive, contextually-aware system overview docs
Jul 1
•
Justin Norris
2
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