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The intelligence layer

SpeakMind

The engine behind Speak2MyCV. It answers every inbound conversation from real documents, scores who’s worth your time, learns what the market is asking, and lets any AI agent query it directly. One grounded intelligence core — the product is just its first surface.

The pipeline
IngestSection-aware chunksEmbed (1024-dim)Hybrid retrieval + RRFGrounded generationScore + captureAlert · digest · MCP

Grounded end-to-end: nothing leaves the pipeline that isn’t built from the person’s own indexed documents.

What SpeakMind does

Grounded answering

Every reply is retrieved from the person’s own documents — hybrid vector + keyword search, re-ranked, sanitized for PII. It never invents a fact.

Behavioural scoring

Each visitor is scored Hot / Warm / Cold from what they actually asked and whether they left a way to reach them — a signal from behaviour, not a guess.

Demand intelligence

Every question is logged and aggregated — what the market asks a professional, before anyone replies. A live map of intent.

Act layer

Hot leads trigger an instant alert with an AI-drafted, conversation-grounded reply, and push to any CRM via webhook. Speed-to-lead, automated.

Agent-native (MCP)

The same engine is exposed over the Model Context Protocol, so ChatGPT, Claude, or any agent can query a profile as a grounded tool.

Multi-tenant + private

Every query is tenant-scoped; documents stay private and are served only through short-lived, access-controlled links.

Speak2MyCV is surface one.

The same intelligence can qualify inbound for any professional, team, or agency — and answer inside any AI assistant. If you’re building on that, let’s talk.

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