How is this different from a chatbot?

A chatbot answers questions. An agent takes action, it can check a system, update a record, or complete a task on its own, not just respond in a conversation.

Can the agent connect to tools we already use?

Yes. Most agents we build integrate directly with your existing CRM, calendar, inventory system, or internal tools rather than replacing them.

What happens if the agent hits something it can't handle?

Real escalation logic is built in from the start, the agent hands off to a real person for anything outside what it's built to do.

Who owns the agent once it's built?

You own it completely, the moment the final payment is received.

Will changes after launch cost extra?

Anything requested after the scope is locked and signed is scoped and billed separately, we'll walk through that directly on your first call.

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Autonomous Action

Workflow Integration

AI Agent Development Services

Autonomous AI Agents Built To Handle Real Business Tasks

Most 'AI agents' on the market are chatbots wearing a new name. LiFet builds agents that actually take action, checking systems, updating records, completing multi-step tasks, not just answering questions and stopping there.

Who This Is For

Built For Businesses Ready To Automate Real Work

This page is for business owners who are done with agents that only chat and want one that actually does something, checks inventory, updates a CRM record, follows up on a lead, escalates a real issue to a real person when it should. Founders building a product that needs an agent as a core feature, and companies that want a specific, repetitive process handled without a human doing it manually every time.

SCRIPTED

The Real Problem This Solves

Most AI Agents Can't Actually Do Anything

Most tools marketed as AI agents are conversational only, they can answer a question but can't take a real action inside your systems. That means someone still has to do the actual work after the conversation ends. LiFet builds agents wired directly into your real tools and data, so the agent doesn't just tell you what to do, it does it.

What's Included

Custom AI agents built around a specific business task, not a generic assistant.

Direct integration with your real tools, CRM, calendar, inventory, or internal systems.

Multi-step task handling, not single-response chat.

Automated workflows the agent runs on its own, on a schedule or a trigger.

Escalation logic that hands off to a real person when a task needs one.

Agents trained on your actual business data and process, not a generic model.

PROCESS

How We Build It

Discovery and Risk Assessment

We review your actual idea, your actual market, and flag real risks before any code gets written.

Scope and Compliance Definition

The exact feature list and any real compliance requirements get locked in writing before development begins.

UI/UX Design

A real, high fidelity prototype you review and approve before the build phase starts, not a placeholder mockup.

Technology and Architecture Setup

The real technical foundation gets built first, database, authentication, and core infrastructure, before any feature work starts.

Agile Software Development

Features get built and verified one at a time, tracked against a visible pipeline you can see progress on.

Quality and Security Testing

Every feature is tested against real security standards before it counts as done, not assumed working.

Deployment and Launch

Your agent goes live, connected to your real systems and tools, not a standalone demo.

Continuous Support and Optimization

Real, ongoing monitoring and support after launch, not a one time handoff.

Relevant Tech Stack

Built On Proven, Modern Technology

Python and FastAPI for agent orchestration, TensorFlow and Node.js for the underlying models and logic, PostgreSQL, Supabase, Redis, and Docker for reliable data and infrastructure, and React, TypeScript, GraphQL, and Tailwind CSS for any interface the agent needs.