Claude Needs a Source of Truth (And So Do You)
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Before you connect AI to anything, decide where each type of information live, and never let it live in two places. Alane Boyd and Micah Johnson tackle the biggest mistake teams make when implementing AI tools like Claude.
If you've ever wondered why your AI gives inconsistent answers or pulls outdated information, this episode reveals the culprit. The hosts get real about why downloading files and re-uploading them to AI projects creates chaos.
In this episode, you'll learn:
- How to establish a single source of truth that works for both humans and AI
- Why duplicate files kill AI accuracy before you even realize it's happening
- The knowledge layer approach to connecting AI with your existing systems
- Real examples of what goes wrong when information lives in multiple places
- How to properly connect Claude to SharePoint, Google Drive, and other storage without creating copies
- Why standardization isn't optional when AI tools are part of your workflow
If you're ready to stop making AI guess where to find information and start giving it access to the right source, this episode shows you exactly how.
Upcoming Education Sessions:
- Free Claude Cowork Webinar
- Free Claude Cowork Masterclass
- Claude Deep Dive Series
Tools/Platforms Mentioned
- Claude
- SharePoint
- Google Drive
- Dropbox
- Box
- PM Tools: ClickUp, Asana, Monday.com
- Grain
- Microsoft 365
- Ignite
- Rippling
- Pipedrive
- Obsidian
- Trainual
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This episode is brought to you by Biggest Goal.
Every quarter your team spends evaluating AI is a quarter your competitors spend shipping. Most leaders feel the pressure but get stuck between ignoring AI and getting it wrong. More tools and more demos won't fix it. What actually works is hands-on training for the people doing the work.
For more information about our AI education programs, visit biggestgoal.ai.
Upcoming Sessions:
- Free Claude Cowork Webinar
- Claude Cowork Masterclass
- Claude Deep Dive Series
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