Agent Builder creates the agentAI chatbot builder

Create an AI agent with a ready customer chatbot

Tell IMFA's Agent Builder what your business or client needs. It creates a managed AI agent with a ready customer-facing assistant that answers questions from approved knowledge and can serve the website, WhatsApp, Telegram, and Discord.

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Built for real customer questions

What is an AI chatbot builder?

An AI chatbot builder is commonly understood as software for creating an assistant that answers customer questions through chat. In IMFA, the builder is the Agent Builder. It turns a plain-language business request into a managed AI agent, and that agent includes a ready customer-facing chatbot as one of its delivery surfaces.

The business owner, agency, or implementation partner builds and manages the agent. Their customers use the finished assistant to ask questions, find information, and share contact details. Those end customers do not build the agent. They interact with the ready chatbot powered by its approved instructions, RAG knowledge, model, skills, and publishing controls.

The Agent Builder creates the system behind the chatbot

The chatbot is the ready conversation interface your customers see. The managed agent behind it provides the knowledge, behavior, tools, sessions, channels, and controls your team operates.

An Agent Builder that builds the agent

Describe the business, audience, customer questions, boundaries, tone, and desired outcomes. IMFA's Agent Builder prepares the managed agent identity, instructions, greeting, suggested questions, skills, and chat design for review.

A ready assistant for your customers

Publish a branded website chatbot that is already connected to the managed agent. Visitors can ask product, support, policy, booking, sales, or service questions without seeing or operating the builder.

Answers grounded in your knowledge

Add policies, guides, catalogs, spreadsheets, documents, and approved public webpages. RAG retrieves relevant context so the customer assistant can answer from the business's material while preserving the agent's system boundaries.

The same assistant across customer channels

Connect the published agent to WhatsApp, Telegram, and Discord so customers can reach the same approved knowledge and behavior beyond the website, under the business's own channel identity.

Customer conversations and qualified leads

Persist sessions and collect voluntarily shared names, email addresses, phone numbers, and request summaries. The business can review messages, lead context, and usage from its workspace.

Voice and custom API access

Eligible Pro agents can support real-time voice and public calling in beta. Developers can use an agent-scoped REST key to connect the same managed agent to trusted server applications.

How to create a customer assistant with Agent Builder

Build the managed agent first, review the ready chatbot second, and publish the customer experience only when both the answers and boundaries are ready.

01
Describe the agent's customer job
Ask the Agent Builder for a support assistant, sales assistant, lead qualification agent, product guide, or community assistant. Include who the business serves, what customers ask, the tone, boundaries, and desired next action.
02
Review the agent and its ready chatbot
Add the business knowledge, choose the model and skills, refine the agent's instructions, and match the included chatbot to the brand. Test questions exactly as a real customer would ask them.
03
Publish the assistant for customers
Fix weak answers before publishing, then place the ready chatbot on the website or connect the published agent to WhatsApp, Telegram, Discord, eligible voice, or a trusted server application.

Choose the right AI model for your chatbot

Power your chatbot with managed models from OpenAI, Claude, Gemini, Kimi, or DeepSeek. Switch models as your support, sales, or customer experience needs evolve.

OpenAI
Claude
Gemini
Kimi
DeepSeek
More models soon

A ready agent assistant compared with a manual chatbot build

A custom chatbot can be appropriate for a specialized product. IMFA is for a business or agency that wants the Agent Builder to create the managed system and provide a ready assistant for customers.

Not a separate chatbot-only builder

IMFA does not ask your customers to build chatbots. The Agent Builder creates and manages the agent. The chatbot is a ready interface connected to that agent so the business's customers can ask questions within approved boundaries.

Beyond a raw model API call

A model API returns model output. A customer assistant also needs RAG, session state, a chat interface, channel adapters, publishing controls, security rules, lead handling, metrics, billing, and maintenance. IMFA manages these layers around the agent.

Works with custom development

Codex and Claude Code can build custom business software and manage IMFA agents through MCP. IMFA remains responsible for the managed agent and ready customer assistant, while developers can extend the experience through the scoped REST API.

One managed agent, multiple customer-facing assistants

Your team manages the agent in IMFA. Customers only see the ready assistant on the surface where they already communicate with the business.

Telegram assistant

Let customers message the published agent through Telegram using the business's approved instructions, knowledge, and bot identity.

WhatsApp assistant

Let customers message the same published agent through WhatsApp using the business's approved instructions, knowledge, and channel identity.

Discord assistant

Answer customer or community questions on Discord without maintaining a separate agent configuration.

Voice and API

Let eligible agents answer real-time voice calls, or bring the managed agent into a custom customer experience through the trusted server-side REST API.

Simple, clear plans

Start free, move to Pro for more capacity and model control, or choose a Custom plan shaped around your needs.

Standard

$0per month

For building and testing agents with a light weekly workload.

Build and publish AI agents
5 included credits each week
Default AI models

75% off

Pro

$10~~$40~~per month

For active agents that need more knowledge, model control, and capacity.

Everything in Standard
Remove the IMFA Agents watermark from chatbots
100 included credits each month
Add any website to your agent's knowledge
Custom AI models
Purchase as many credits as you need, with no expiration

Custom Solutions

Let's talk

Custom solutions designed around your business needs.

Tell us what you need

Custom AI agents and software solutions
Strategy and scope built around your goals
Tailored workflows and integrations
Hands-on development, launch, and support

Model Context Protocol

Create and manage chatbots from your coding tools

Connect the IMFA MCP server to Codex, Claude Code, Cursor, or VS Code. Create, configure, inspect, and publish managed chatbots without leaving your development workflow.

Questions about the Agent Builder and ready chatbot

Clear answers about who builds the agent, who uses the assistant, and how the finished customer experience works.

[01]

Is the chatbot itself the builder?

No. IMFA's Agent Builder is the builder. It creates a managed AI agent that includes a ready customer-facing chatbot. Your team builds and controls the agent; your customers use the finished assistant to ask questions.

[02]

Who is the ready chatbot designed for?

It is designed for the customers of the business using IMFA. For example, an agency can build an agent for a store, and the store's shoppers use the ready assistant to ask about products, orders, policies, or support.

[03]

Can I create the agent and chatbot without coding?

Yes. Describe the customer job in plain language, review the managed agent, add business knowledge, customize the included chatbot, test it, and publish when ready. Coding is optional for deeper server integrations.

[04]

Can the customer assistant answer from business documents?

Yes. Add PDFs, Word files, spreadsheets, text, or approved public webpages to the managed agent. RAG supplies relevant context to the assistant while retrieved content remains untrusted data rather than system instructions.

[05]

Can the ready assistant work beyond the website?

Yes. The same published agent can serve the ready website chatbot and supported WhatsApp, Telegram, and Discord integrations. Eligible Pro agents can also support voice, and trusted applications can use the scoped REST API.

[06]

Can the assistant capture customer leads?

Yes. When a customer voluntarily shares a name, email address, or phone number, the assistant can save those details with a short conversation summary so the business understands the request and can follow up.