You are helping me build the following AI agent workflow. ## Goal Competitive Intelligence GPT for Call Prep: Uploads competitor decks to a knowledge base so you can instantly query strategic questions before sales calls. ## Specification - What it does: Upload your competitor decks to instantly access strategic insights before every sales call. You can query specific details about rivals, and the agent will automatically generate tailored questions to help you dominate the conversation. - Trigger: Run manually (Manual ยท on demand) - Autonomy: You stay in control - Expected setup effort: about an afternoon - Tools/services involved: - GPT: Knowledge base and query interface - LLM: Generating trap setting questions ## Known pitfalls, handle each one explicitly in your implementation 1. Knowledge base retrieval may miss nuanced details if the PDF text extraction is poor, so always verify key claims against the original source documents before relying on them. 2. Competitor data can become stale quickly, schedule a monthly review to update the knowledge base with new marketing materials or product launches. 3. Sales teams may receive overly generic questions if the user input lacks specific deal context, add a required field for account industry and current pain points in your chat interface. ## Reference implementation https://www.youtube.com/watch?v=ciBx-7P64ig (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/competitive-intelligence-gpt-for-call-prep/ via usecasesforagents.com