guardian ai pro

The problem

Buying products or filing service claims involves navigating biased reviews, hidden costs, and complex refund policies. Manual research often misses critical warranty details or cheaper alternatives, leading to buyer's remorse or lost money.

What it does

• Performs deep product research on specifications, primary source warranties, and seller reputations.
• Calculates total-cost-of-ownership by factoring in shipping, accessories, and maintenance.
• Generates structured consumer claim packages with factual timelines and ready-to-send messages.
• Prioritizes batch financial risks in a compact ledger for multiple documents or receipts.
• Assigns confidence ratings to all findings to distinguish between confirmed facts and likely estimates.

Why this beats prompting it yourself

General-purpose prompts often hallucinate current prices or fabricate return policies to sound helpful. This skill enforces strict evidence labeling and prevents the fabrication of legal or financial data, ensuring every recommendation is backed by verifiable primary sources.

Use cases

• Vetting a high-ticket electronics purchase against three alternative retailers.
• Building a formal evidence package for a disputed credit card charge or insurance claim.
• Auditing a batch of invoices to identify high-value deadline and refund risks.
• Evaluating the true value of a refurbished item by analyzing seller history and warranty terms.

Known limitations

Cannot access real-time web data if the environment's search tools are disabled. Will not provide legal citations or handle sensitive authentication data like passwords.