Airframe Docs

    Example prompts

    Prompts that show what Airframe can do, and the tools each one uses.

    You don't need to name tools. Ask the way you normally would; your assistant picks the tools. These examples show what each kind of question uses.

    Vendor brief

    Brief me on Decagon: what it does, who it sells to, what it costs, and its top three competitors.

    Uses search_products to resolve the name, then get_product_details for the profile, including alternatives. With the Claude plugin, the answer follows a standard brief format.

    Head-to-head comparison

    Compare Zendesk and Intercom on pricing, AI features, integrations, and compliance. Which fits a 500-person B2B SaaS company better?

    Resolves both products, then makes one get_product_details call with both slugs and only the sections it needs.

    Pricing check

    What does Gong cost? Show the published tiers and Airframe's estimate of a typical contract.

    Uses get_product_details with the pricing and fipc sections. The contract estimate is Airframe's model, not a quote.

    Market map

    Map the customer-service AI agent market for a board slide: the main vendors, how they're positioned, and who's gaining share.

    Uses ask_airframe for the synthesis. If your team has the market report, it also reads vendors, switches, and winloss from read_market_report_section.

    Find a practitioner

    Find people who have rolled out Salesforce Agentforce at an enterprise and could advise on a buying decision.

    Uses find_experts with the product filter. Profiles are anonymized; contact Airframe for an introduction.

    Build or buy

    We're a 200-person fintech. Should we build or buy an LLM evaluation harness? What are the leading options?

    Uses ask_airframe, which grounds the recommendation in the catalog and cites its sources.

    Competitive copy

    Write three homepage headlines that differentiate us from our two closest competitors. We make an AI SDR tool.

    Grounds the claims about competitors in current Airframe data before writing, rather than in what the model remembers.

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