AI Vendor Evaluation FAQs

Question 1

Can it help me decide between building or buying an AI solution?

Accepted Answer

Yes, it features a comprehensive build-vs-buy decision matrix. It guides you through evaluating strategic importance, total cost of ownership (TCO), time-to-value, and internal team capabilities to determine the most cost-effective path.

Question 2

How does this skill help with AI pricing and contract negotiations?

Accepted Answer

The skill includes a dedicated pricing model analysis that benchmarks vendor quotes against fair market rates. It also provides a contract checklist to help you spot problematic terms regarding data ownership, exit clauses, and hidden usage fees.

Question 3

What does the AI Vendor Evaluation skill do?

Accepted Answer

This skill provides a structured framework within Claude Code to evaluate AI vendor proposals, conduct technical due diligence, and analyze pricing models. It helps users identify red flags, assess business viability, and compare multiple AI solutions using a systematic scorecard.

Question 4

When should I use this skill in my workflow?

Accepted Answer

Trigger this skill whenever you are reviewing an AI vendor proposal, preparing for a product demo, negotiating an AI contract, or deciding whether to build a custom solution in-house versus purchasing an existing platform.

Question 5

What specific 'red flags' does this skill help identify?

Accepted Answer

The skill alerts you to common vendor patterns like 'Model Wrappers' (thin layers over basic APIs), 'The Overpromiser' (vague technical details), and hidden professional services costs, ensuring you don't commit to a solution that lacks proprietary value.

AI Vendor Evaluation

AI Vendor Evaluation

概要

主な機能

ユースケース

概要

主な機能

ユースケース