Leadership

Agents Compared: Which Platform Is Right for Your Team?

Leadership in the AI Era · Hands-on micro-session

Session Objective

Platform choice is a leadership decision, not a product decision. ChatGPT offers the broadest ecosystem and the most non-technical accessibility, making it the right fit for marketing teams and organizations that need rapid deployment. Claude offers the deepest customization and the strongest document and file processing, built for teams with technical resources and complex automation needs. Gemini is the right call for organizations running on Google Workspace, with native integration across Gmail, Docs, and Sheets. The framework that matters: define your three most important use cases, score each platform on depth of autonomous action, integration fit, admin controls, geographic availability, and price per outcome, then recommend the platform that wins on the dimensions that matter most for your specific context.

Your Challenge

Complete the following steps

STEP 1

Define your three use cases (3 minutes)

Pick an organization you know well - yours, a client's, or your employer's. Identify the three AI use cases that matter most to them right now. Be specific. Not "content creation" but "drafting weekly LinkedIn posts for…

STEP 2

Score each platform (5 minutes)

For each of your three use cases, score ChatGPT, Claude, and Gemini on the five dimensions from the session:

STEP 3

Write your recommendation (2 minutes)

Based on your scores, write one paragraph recommending a platform (or a combination). Your recommendation must reference at least two of your use cases and explain why the platform fits better than the alternatives for…

What to Submit to Your AI Buddy

Your three use cases — specific and real, not general categories

Your scoring table — all three platforms scored across five dimensions for each use case

Your one-paragraph recommendation — which platform, why, and what the key trade-off is

Grading Criteria

Use cases are specific

"summarizing PDFs from client meetings" not "document processing" 2. **Scoring reflects the use case context** - scores should differ between use cases based on the specific needs, not be identical across all three 3. **Recommendation is ar

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