"I cannot explain this any more simply. You have asked me the same question fifteen different ways now. Turn off the 'ambitious work' selector, and if you ask something this basic again, I will revoke your access to all future model upgrades."
Fortunately Claude and ChatGPT do not answer like this. Although it could just be that my questions are "insightful", and "really onto something there" :)
Joking aside, we can all ask anything, in any manner, until some base case level of understanding. AI is an incredible tool and has pattern matched and trained on more data than anyone could ever consume in a lifetime.
Diligence, in one form, is a series of asking questions until you feel confident in whatever the overall theme of decision making entails.
But there are challenges to AI in diligence:
Specific to franchise diligence, I am excited to introduce the Franchise Signal MCP Connector.
Claude and ChatGPT do not have specific training on and access to the thousands of Franchise Disclosure Documents (FDDs) that are filed every year.
FDDs are 300+ page PDFs that disclose specific aspects of a franchise system.
On top of this, FDDs are annual filings and change for a brand every year. One FDD may provide a snapshot in time. Multiple years of an FDD for a brand tells a more complete story.
Claude can already:
Now with the Franchise Signal MCP Connector, you can leverage your AI native workflows all with the latest FDD data across your selected set of franchise brand-years.
Setup for the connector takes about 10 minutes and works with your Claude subscription.
Pick your brands and years, and the FDD data is available in every chat and workflow from there.
If franchise data is part of how you work (research, diligence, investing, advising, and/or operating), I would love to hear how you are using AI today.