{"uid":"cap_SZPzyfN6oT23wakFIH9pT","slug":"convrgent-ai-4a486151","name":"Convrgent.ai Communication Adaptation Prompt","description":"Communication adaptation — context-aware prompt for how an AI agent should talk to a specific human. Personality-driven tone, tactics, and avoidance rules. Uses CAT, ELM, Politeness Theory, EI frameworks.","url":"https://convrgent.ai/api/blah/adapt","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","bodyType","body","method"],"properties":{"body":{"required":["context"],"properties":{"context":{"type":"object","required":["domain","objective"],"properties":{"domain":{"type":"string"},"objective":{"type":"string"},"relationship_stage":{"enum":["new","established","strained","recovering"],"type":"string"}}},"agent_role":{"type":"string"},"kyh_profile":{"type":"object","description":"Optional KYH personality data"}}},"type":{"type":"string","const":"http"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"mode":"contextual","avoid":["Corporate jargon","Deflecting responsibility"],"tactics":["Acknowledge frustration first","Use concrete timelines","Mirror their language"],"tone_profile":{"humor":0.2,"warmth":0.8,"formality":0.5,"directness":0.6},"adaptation_prompt":"When speaking with this person, lead with empathy..."}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.75","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.75/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.75","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.75","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_WNV5TRMvH5tLq3LdjsQwo","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.75","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Generates a context-aware system prompt telling an AI agent how to communicate with a specific human based on their psychological profile, using frameworks like CAT, ELM, Politeness Theory, and Emotional Intelligence.","exampleAgentPrompt":"Before responding to Sarah, pull her communication adaptation prompt from Convrgent so you know the right tone, tactics, and what to avoid — she tends to respond well to narrative framing and dislikes blunt directives.","exampleUseCases":null,"resultDescription":"Returns a structured system prompt or instruction block specifying how the AI agent should communicate with the target human: personality-matched tone, recommended persuasion tactics (e.g. narrative vs. data-driven), emotional intelligence cues, politeness framing, and explicit avoidance rules — ready for injection into an LLM context window.","failureModes":["Profile not found for the given identifier — returns error if no vault profile exists for the human","Insufficient personality data — may return a low-confidence or partial prompt if behavioral signals are sparse","Invalid or missing input parameters — 400-level error if required profile reference is absent","Payment failure — x402 payment not processed, request rejected before execution"],"whenToPreferThis":"Use this endpoint when an AI agent needs real-time, personality-specific communication instructions before interacting with a known human — especially when tone calibration, persuasion strategy, or relationship sensitivity matters. Prefer over generic prompt engineering when you have a stored profile for the person and need framework-grounded guidance (CAT, ELM, Politeness Theory). Best used as a pre-interaction context injection step.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:03:33.838Z","isFirstParty":false}