Core ConceptsFeatures
Core Concepts

Core Features of conspect.ai

Explore the main capabilities of conspect.ai, including adaptive dialogues, custom knowledge bases, and structured outputs for effective lead capture.

Overview

conspect.ai transforms static forms into dynamic, AI-powered conversations. You build adaptive dialogues that capture intent, qualify leads, and provide personalized advice. Key features include playbooks for consistent flows, custom knowledge integration, and structured outputs like summaries and tags.

Start simple: Create your first dialogue in minutes using the dashboard at https://dashboard.example.com.

Key Features

Use these core capabilities to streamline lead qualification and engagement.

Building Adaptive Dialogues

Create dialogues that adapt to user responses across three stages: capture, qualify, and advice.

Collect initial intent without overwhelming users.

// Example dialogue node configuration
{
  "id": "capture-intent",
  "type": "question",
  "text": "Worum geht's dir gerade wirklich?",
  "options": ["Vergleichen", "Empfehlung", "Angebot", "Informieren"]
}

Test dialogues in the live preview to ensure smooth branching.

Defining Playbooks

Playbooks ensure reproducible flows. Define them via API or dashboard.

// API: Create a playbook
const playbook = await fetch('https://api.example.com/v1/playbooks', {
  method: 'POST',
  headers: { 'Authorization': 'Bearer YOUR_API_KEY' },
  body: JSON.stringify({
    name: 'High-Intent Leads',
    stages: ['capture', 'qualify', 'advice']
  })
});

Integrating Custom Knowledge

Upload FAQs, pricing tables, or rules to make responses context-aware.

Steps to Integrate

Prepare Knowledge Base

Format data as JSON or CSV.

{
  "faqs": [
    {
      "question": "What is the setup time?",
      "answer": "Live in minutes, no code required."
    }
  ],
  "pricing": {
    "starter": "$29/month",
    "pro": "$99/month"
  }
}

Upload via API

await fetch('https://api.example.com/v1/knowledge', {
  method: 'POST',
  body: formDataWithFile
});

Link to Dialogue

Reference in playbook nodes: {knowledge.faqs.relevant}.

Generating Structured Outputs

Every conversation produces clean JSON for CRM integration or webhooks.

summarystring

Concise user intent summary.

intentstring

High/Medium/Low qualification score.

tagsarray

Auto-generated labels like ["Qualität", "Schnell"].

nextStepstring

Recommended action, e.g., "Termin buchen".

Best Practices

  • Keep questions concise (under 100 characters).
  • Use multi-select for priorities.
  • Always define fallback responses.
FeatureBenefitUse Case
PlaybooksConsistencySales teams
KnowledgePersonalizationSupport FAQs
OutputsAutomationCRM sync

Link to Quickstart for hands-on setup.

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