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How I AI: 3 signs it's time to start a new chat thread

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You've put in the work on your prompts. You know how to give AI the right context, set the right tone, ask the right questions. But then, mid-conversation, something shifts. The AI starts making things up, forgetting what you told it five minutes ago, contradicting itself. 

In this How I AI episode, Neo and I unpack what is actually happening when AI gets unreliable mid-conversation, including how to read the warning signs that tell you it is time to close a thread and start fresh. 

In this episode of How I AI, a special series within How I Work, Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. 

What you'll learn: 

  • Why AI gets unreliable mid-conversation, and what's actually going on 
  • What the 60% rule is and why it matters 
  • Which file types quietly eat through your context window 
  • The warning signs that it's time to close a thread and start fresh 
  • Practical AI tools for productivity and focus 
  • Real-world AI workflows used by high performers 
  • How to use AI at work without burning out 
  • Smart shortcuts for managing time and mental load 

Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. 

My latest book The Energy Game is out now. You can order a copy here: https://amzn.to/48ID29M 

Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber

Instagram (https://www.instagram.com/amanthai

If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ 

Visit https://www.amantha.com/podcast for full show notes from all episodes. 

Get in touch at amantha@inventium.com.au 

Credits: 
Host: Amantha Imber 
Sound Engineer: Martin Imber 

 
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