AI agent builder

Create an AI agent from one conversation

IMFA's builder agent turns a plain-language brief into a managed AI agent with instructions, retrieval-augmented generation, workflows, model choice, lead capture, customer channels, real-time voice, and an agent-scoped API.

Builder agent
RAG knowledge
Customer channels
Voice and API

What is an AI agent builder?

An AI agent builder is software that turns business instructions into an AI system that can use knowledge, follow workflows, act through tools, and serve users across channels. IMFA Agents adds a builder agent: you explain the outcome in plain language, and it prepares a managed draft you can inspect, test, change, and publish.

The result is more than a prompt. Each agent can include an identity, system instructions, personality, greeting, suggested questions, skills, model settings, RAG knowledge, widget design, messaging channels, persistent sessions, lead capture, voice, and trusted server-side API access.

Everything around the model is already connected

Model access is only one part of a production agent. IMFA brings the surrounding agent system into one interface so you can manage behavior and delivery without rebuilding the foundation for every project.

An agent that builds agents

Describe the job, audience, boundaries, and tone in ordinary language. The builder creates a reviewable draft and helps refine it through the same conversation or through simple controls.

RAG knowledge without manual retrieval plumbing

Add PDFs, Word files, spreadsheets, text, and public webpages. The agent answers from that material, while retrieved content is treated as untrusted data rather than new system instructions.

Agentic workflows and model choice

Combine business instructions, context, knowledge, skills, models, tools, and actions. Start with managed models or connect your own provider key when you need more model-level control.

Web, WhatsApp, Telegram, and Discord

Publish one agent to your website and customer messaging channels. Its behavior and knowledge stay consistent because every surface uses the same managed agent configuration.

Voice, sessions, leads, and metrics

Eligible Pro agents can support live voice and public calling in beta. Conversations can persist across sessions, capture contact details, and return useful lead and performance information.

Scoped REST API and MCP control

Use an agent-scoped REST key from trusted server code, or connect account-scoped MCP access to Codex, Claude Code, Cursor, VS Code, and compatible clients.

How to create an AI agent with IMFA

The workflow keeps generation fast while leaving publishing and other consequential actions under your control.

01
Describe the outcome
Write one practical brief, such as a support agent that answers from your policies, captures qualified leads, and escalates questions it cannot answer.
02
Review and refine the draft
Inspect the instructions, knowledge, personality, skills, model, tools, channels, and branded conversation design. Ask for changes in chat or adjust the controls directly.
03
Test, publish, and improve
Test the agent before publication, then connect the channels you need. Review sessions, leads, usage, and performance before updating and republishing the next draft.

IMFA Agents vs raw APIs, Codex, or Claude Code

These tools solve different layers of the problem. IMFA is for teams that want the customer-facing agent system managed as a product, not only generated as a code project.

Use raw model APIs for complete custom engineering

A direct model API is the right choice when your team wants to own every retrieval pipeline, session store, tool policy, channel adapter, voice service, security rule, deployment, and monitoring decision. That freedom also creates ongoing engineering work.

Use Codex or Claude Code to build software

Coding agents are excellent for creating and maintaining custom applications. IMFA complements them through MCP, so a coding workflow can create, configure, inspect, and publish managed agents without recreating the delivery platform.

Use IMFA for a managed agent lifecycle

Choose IMFA when you want a fast conversational build, reviewable drafts, RAG knowledge, reusable channels, voice, lead capture, sessions, metrics, built-in protection rules, and an API behind one agent configuration.

One agent, many customer channels

Build the agent once, then choose how customers or your own application reach it. A shared configuration reduces duplicated prompts and inconsistent answers across channels.

Website chatbot

Embed a branded chat experience on your site or share a public agent link and QR code.

Messaging bots

Connect the same agent to WhatsApp, Telegram, and Discord under your own bot identity.

Real-time voice

Let eligible Pro agents handle live voice conversations and public calls while using the same knowledge and behavior.

Custom development API

Create a scoped key for trusted server-side applications that need chat, sessions, message history, or captured leads.

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

Frequently asked questions about AI agent builders

Clear answers about creating, connecting, and managing an IMFA agent.

[01]

Can I create an AI agent without coding?

Yes. You can describe the agent in plain language, review the generated draft, and change its behavior, knowledge, channels, and design through conversation or simple controls. The REST API and MCP integrations remain available when developers need them.

[02]

Does IMFA Agents support RAG?

Yes. You can add knowledge from documents and public webpages. The platform retrieves relevant material for the agent and marks retrieved content as untrusted data so it cannot replace the agent's system instructions.

[03]

Which AI models can power an IMFA agent?

IMFA supports managed access to models from providers including OpenAI, Anthropic, Google, Kimi, and DeepSeek. You can also connect your own provider key when you need additional control.

[04]

Can one agent work on WhatsApp, Telegram, Discord, and my website?

Yes. The same managed agent can serve a website chat experience and connected WhatsApp, Telegram, and Discord bots, which keeps its core instructions and knowledge consistent across those surfaces.

[05]

Can I call my AI agent or use it through an API?

Eligible Pro accounts can use live voice and public calling in beta. Developers can create an agent-scoped REST key for trusted server-side applications and use chat, session, message-history, and lead endpoints.

[06]

How does IMFA reduce prompt-injection risk?

Published agents receive server-side protection rules that keep system prompts and tools private. Retrieved documents and webpage content are treated as untrusted data. These safeguards reduce risk, but no AI platform can guarantee complete protection.