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Chatbots vs AI Agents
Assets
Images are carried over from the live page and framed inside the current Peach design system.
Highlights
Real Ways to Grow Your Revenue
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The Problem
The Goal: If your Mom messaged your business, would she get frustrated?
The Difference: Chatbots look for "Keywords" (Dumb). Peach understands "Intent and Memory" (Smart).
Details
Your Mom asks: "Do you have this in red?" The Bot replies: "Press 1 for Sales, Press 2 for Support." It forces her into a menu she didn't ask for.
The Agent replies: "Hi! Yes, we have that red dress in stock. Since you bought a Medium last time, should I add that to your cart for you?
Read More: Why Growth Teams Should Own AI Chatbots (Not Customer Support)
Kill Sheet
Feature
Traditional Chatbots (Wati, Gallabox, Interakt)
DIY Automation (n8n, Python)
Peach AI Agents (The Revenue Engine)
The Brain
Decision Trees: Rigid "If/Else" branches. Breaks if the user goes off-script.
Connectors: Great for moving data, but requires building complex logic manually.
Reasoning Engine: LLM-based. Understands intent and navigates ambiguity automatically.
Context
Stateless: Forgets the user immediately after the session.
Database Required: You must build and host your own memory database (Redis/SQL).
Long term Memory: Remembers past purchases, sizing, and preferences out-of-the-box.
Maintenance
High: Every new product/FAQ requires updating the flowchart.
High: You manage hosting, "Permanent Tokens," and API breaking changes.
Zero: Peach handles the Meta infrastructure. You just update the prompt.
Goal
Deflection: "Reduce support tickets."
Automation: "Move data from A to B."
Revenue: "Negotiate and Close Deals".
Peach AI
Launch AI agents and WhatsApp workflows with Peach.