Mindmap - Botlify
UML Sequence - Botlify
Home Page - Bots In Minutes
Create a Bot - No Code Required
Enable/Disable Voice in Bots - Talk with Bot using Voice
Persona Configuration for the Bots - Let's Replicate the Bot
Add Conditional Rules - No Hallucination Ever
Create Conditional Rules for the Bot
List of all Simple Bots - Bots Marketplace
Edit the Bot Configurations - Want to upgrade the Bots?
Workflow Bots Manager - Want to create Sequential or A2A Protocol Bots?
Create a New Bot Workflow - Let's create something Unimaginable!
How to Create a Bot Workflow
Version Control System for Bots
Bot Analytics Page
Message History of the Bots
View Bot Rating Analysis - How the Bot Performs?
View Frequently Asked Topic by the Bot
Chat with the Bot - All queries resolved!
Chat with the Workflow Bot - Routes so well!
Continue Conversation - Auto Detect Intent to End Conversion!
Rate the Bot - Were your Queries Resolved?
React Component - Integrate the Bot with Developer Access
API SDK - Integrate the Bot with Developer Access

🤖 Botlify — Build AI Chatbots in Minutes, Not Hours

Create powerful, intelligent chatbots without writing a single line of code. With Botlify, users can scrape websites, configure response rules, define workflows, embed across platforms, and provide natural conversations — all from an intuitive interface that takes 10 minutes of work down to 1.

🌟 Inspiration

Building AI chatbots is often time-consuming, technical, and full of guesswork. We noticed:

Most AI assistants hallucinate responses due to lack of context or domain-specific knowledge.
Creating useful bots for workflows like inquiries, refunds, or HR queries often requires coding.
Teams lack simple tools to train, deploy, and embed contextual chatbots without engineers.

So we built Botlify — a powerful no-code platform where anyone, even with zero technical experience, can create intelligent bots tailored to their own content and audience.

🔥 Key Features

🧠 Context-Aware Bots

Website Scraping: Scrape any site to build a relevant and reliable knowledge base.
Upload Files: Add documents, FAQs, PDFs, CSVs, and Notion pages for context.
Chat History Context: Uses previous messages to generate better answers.

🎤 Voice-Enabled Conversations

Option to enable voice input/output using ElevenLabs API.
Users can talk to the bot — making the experience more natural and accessible.

🎭 Bot Persona & Behavior

Define the bot’s tone, personality, and behavior.
Tailor responses to feel human-like, friendly, formal, or fun — however you want.

🔄 Rule-Based Intelligence

Use if-else conditions to define logic.
Configure actions based on:
- Keyword matching
- Intent detection
- Confidence score
Supports multi-intent understanding for better routing.

🧩 Workflow Bots & Routing

Create multiple bots for different departments: Support, Sales, Payments, etc.
Route queries intelligently between bots using:
- Intent scoring
- Keyword match
- Semantic similarity
All features available in single bots are supported in workflows too.

💬 Live Chat & Smart UX

Sleek, real-time chat interface.
Bot detects when conversation ends and asks for feedback.
Feedback is stored, analyzed, and used to improve bot responses.

📊 Feedback, Analytics & Rating System

Collect star ratings at the end of a session.
Visual dashboards show bot performance, satisfaction scores, unanswered queries, and drop-off points.

♻️ Version History & Recovery

Full version control of bot configurations.
Roll back to older versions anytime if something breaks.

🌐 Instant Sharing & Integration

Generate public URLs to test or share bots instantly.
Seamlessly embed bots via:
- <iframe />
- React SDK
- REST API

👩‍💻 Developer Friendly

Event webhooks for real-time triggers and alerts.
Custom JS function nodes for power users.
Integrate with any stack using SDKs or APIs.

🔒 Enterprise-Grade Features

Role-based access controls
Approval workflows before bot deployment
Multi-user team collaboration

📊 Botlify Visuals

🧠 Mind Map – Botlify Ecosystem

Botlify Mind Map

🔁 UML Sequence Diagram – Chat Lifecycle

Botlify UML Sequence

🏗️ Tech Stack

Frontend: React + Tailwind CSS
Backend: Node.js + Express
AI Layer: OpenAI APIs + RAG (Retrieval-Augmented Generation)
Database: MongoDB
Voice Engine: ElevenLabs API
Embedding: iFrame, React SDK, REST APIs

🚧 Challenges We Tackled

Preventing AI hallucinations with strict context filtering
Making complex workflows simple with drag-and-drop UI
Building real-time multi-bot routing
Designing a zero-learning-curve platform

🏆 Achievements We're Proud Of

Reduced bot creation time from 10 minutes to under 1
Built a scalable, no-hallucination bot framework using RAG
Used in:
- Customer Support
- E-commerce Chatbots
- HR & IT Internal Bots
- Online Education
Enabled real-time intent-based bot chaining