
Struggling with AI rule-following? Here is why it happens and how to fix it.
Julian Goldie Agency10 August 2026Watch on YouTube
Part of series
Ep. 9 · Bespaar 95% op AI-tokenkosten
Praktische gids voor het drastisch verlagen van AI-tokengebruik en -kosten met de Headroom-tool.
View the seriesWhat you'll learn
- AI agents don't follow rules perfectly on the first attempt; iterative feedback and testing are essential for reliable automation
- Training AI is comparable to training a team member: continuously refining instructions and guidelines leads to better results
- Tools like Hermes offer advantages for complex background automation because they work independently of system availability, unlike browser-dependent alternatives
Frequently asked questions
Why is it normal that AI agents don't immediately follow rules?
What is the advantage of tools like Hermes for AI automation?
How does training AI compare to training a team member?
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Description from the channel
Getting AI agents to consistently follow project rules is rarely perfect on the first try. Instead of expecting immediate success, the most effective workflow involves iterative feedback and rigorous testing. By treating AI setup like training a team member—constantly refining instructions and guidelines—results become significantly more reliable. For complex, background-running automations, switching to tools like Hermes allows tasks to continue even when systems are offline, offering a major advantage over browser-dependent alternatives. #aiworkflow #artificialintelligence #automation