AI Agent Use Cases

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Work & Research

An Agent Team That Uses Another Bot to Recheck a Flawed Research Method

Another bot tested a website-only conclusion by querying AI search directly and found all 33 businesses in the test.

How it works

  1. The author's COO-role bot ranked 14 mistakes made by the bots in order of severity.
  2. The first involved a Grok Bot concluding that local businesses were "invisible to AI" after looking only at their websites.
  3. Another Grok Bot queried an AI search tool directly, which reportedly named all 33 businesses tested. The research method was therefore abandoned.

Results

Verification by another bot revealed that the initial conclusion was wrong, and the author discarded the method.

Notes

Only some of the other 13 mistakes are shown in the post. It does not identify the AI search tool queried.

Source

X Original post ↗

Example prompt · Grok Bot

Research how often local businesses are mentioned in AI search, and have another bot independently verify whether the research method is sound.

Inputs: businesses to research [names, areas, websites], AI search tools to check [list of names], questions to ask [e.g., recommend flower shops in this neighborhood], and output destination [spreadsheet or document]. First check whether there is a way to query each AI search tool directly.

Process: 1) Have the research bot predict results by examining the websites. 2) Have the verification bot ask AI search tools directly about the same businesses and record whether they are actually mentioned. 3) Flag businesses where the two results differ. If the predictions are substantially wrong, recommend discontinuing that method. 4) Keep a list of the bots' mistakes ranked by severity. Do not contact the businesses or publish the results externally.

Deliverables: a per-business results table covering website-based predictions and actual AI search mentions, plus a method-validation note. First compare the two methods using 5 businesses and show the results.