Building a Sales AI Agent with Manus AI — Full Stack Demo (Objections, Negotiation & Live Signals)

This video demonstrates building a complete Sales Conversion & Negotiation AI Agent using Manus AI, covering the full stack from prompt engineering to live implementation. The agent handles customer objections, negotiation scenarios, and real-time signals to improve sales conversion rates. The demo includes practical techniques for training AI agents to manage complex sales interactions with dynamic customer responses.

Key Points

• •Design a multi-turn conversation flow that handles customer objections and negotiation tactics
• •Use prompt engineering to define agent personality, sales strategy, and negotiation boundaries
• •Implement real-time signal detection to identify customer sentiment and buying intent
• •Structure agent memory to track objection history and previous negotiation attempts
• •Create fallback mechanisms for unhandled objections and escalation paths
• •Test agent responses against common sales scenarios (price objections, competitor comparisons, timing concerns)
• •Integrate live data signals (customer behavior, market conditions) into decision-making
• •Measure conversion metrics and iterate on agent prompts based on performance data
• •Build error handling for edge cases where agent should defer to human sales rep

Workflow Diagram

Concepts