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    Use-case library
    Sales · Claude.ai

    Build a battle card library

    Create competitive battle cards that help your team handle objections and win deals.

    Retrieval-grounded assistantAutonomy: DraftRevenueQualityMedium effortPartner / MD
    What changed

    Claude assembles per-competitor battle cards — their strengths, your differentiators, landmines, and objection-handling — from your notes and public material, in one consistent template.

    How it's built

    Retrieval-grounded assistant (rung 3 of 6). Fetch your evidence, then answer. Fixed path, read-only.

    Not an agent: the sequence of steps is fixed in advance, so the whole path can be tested end to end.

    Autonomy: T1 · Draft
    Produces a complete output for a human to review and release. Human role: reviews every item and releases it.
    How it is governed
    Cite-or-abstain. Source freshness and access controls inherited from the corpus.
    What the certification exams call this
    • Anthropic (Claude Certified Architect – Foundations (CCAR-F))The augmented LLM: a model with retrieval. source
    • OpenAI (OpenAI agent guidance (Agents SDK, Codex, OpenAI Academy))Data tools that retrieve the context the answer needs. source
    • Google Cloud (Generative AI Leader)Grounding in first-party enterprise data; retrieval-augmented generation (exam §3.3). source
    • Microsoft (AI-901 (Azure AI Fundamentals) and AB-100 (Agentic AI Business Solutions Architect))Knowledge sources and grounding data for Copilot Studio agents (AB-100). source

    How Koko classifies AI · the full ladder is taught in AI & Agentic Delivery Foundations.

    Try it

    Illustrative demo

    A sales team keeps losing a feature comparison and needs a sharp card for the rep. Edit the inputs to tailor the output — it's baked synthetic data, so nothing leaves your browser until you run it live.

    Example prompts
    • Build a battle card for [competitor]: their strengths, our differentiators, traps to set, and objection responses.
    • Turn these win/loss notes into objection-handling talk tracks.
    Try in Ask KokoAI