The problem

Selecting software or AI vendors based on hype leads to costly mistakes. Most comparisons lack objective weights, miss critical security risks, or ignore hidden implementation burdens.

What it does

• Generates weighted decision matrices based on custom business criteria.
• Calculates weighted scores across vendors to identify the objectively strongest fit.
• Surfaces critical trade-offs, implementation risks, and data privacy gaps.
• produces vendor follow-up questions and executive decision logs for stakeholders.
• Audits existing internal tool shortlists for bias or missing evidence.

Why this beats prompting it yourself

It enforces a disciplined procurement workflow that prevents biased "gut feel" choices. The skill tracks unknowns and forces verification of claims rather than assuming marketing fluff is factual. It ensures technical factors like data retention and integration effort are never overlooked.

Use cases

• Comparing LLM providers for cost, latency, and data privacy.
• Shortlisting automation platforms for agency client delivery.
• Auditing a team's preferred SaaS tool against enterprise security standards.
• Building a procurement-ready recommendation for a new AI agent builder.

Known limitations

Does not provide real-time pricing or market benchmarks. Requires the user to provide specific data points or verify agent-suggested placeholders.