AI Agent Development

Custom AI Agents Built Around A Specific Job To Be Done

Instead of a single do-everything assistant, we design focused AI agents for specific roles — a research agent, a data-entry agent, a scheduling agent — each connected to the tools it needs and scoped to what it can safely do.

  • Purpose-Built Agents, Not Generic Assistants
  • Connected To Your Tools, Data & APIs
  • Clear Scope: What The Agent Can & Can't Do
  • Delivered As Part Of Your Product Or Internal Tooling

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One Agent, One Job, Done Well

The most reliable AI agents aren't broad — they're narrow and well-instrumented. We start by defining exactly what task the agent owns, what data and tools it needs access to, and what "done correctly" looks like, then build and test against that definition.

  • Research, monitoring and data-gathering agents
  • Data entry, reporting and reconciliation agents
  • Scheduling and coordination agents
  • Agents embedded inside your product as a feature

AI Agent Development Services
What We Build

Types Of AI Agents We Develop

Common agent roles we build for our clients
Research AgentsResearch Agents

Gathers and summarizes information from your data sources or the web on a schedule.

01
Data Entry AgentsData Entry Agents

Extracts data from documents and emails and enters it into your systems accurately.

02
Scheduling AgentsScheduling Agents

Manages calendars, follow-ups and coordination across teams and calendars.

03
Reporting AgentsReporting Agents

Pulls data from multiple systems and produces regular summaries and reports.

04
In-Product AgentsIn-Product Agents

An agent embedded directly in your SaaS product as a customer-facing feature.

05
Internal Ops AgentsInternal Ops Agents

Handles repetitive internal ops tasks like access requests or routine approvals.

06
Our Process

How we scope and ship a reliable AI agent.

1.

Define The Task

We pin down exactly what the agent owns and what success looks like.

2.

Connect Data & Tools

We give the agent access to exactly what it needs, no more.

3.

Build & Test

We build the agent and test it against real, messy examples.

4.

Deploy & Monitor

We roll it out and track accuracy so it keeps earning trust.

Use Cases

Tasks Businesses Hand Off To AI Agents

Back Office

  • Invoice processing
  • Data reconciliation

Sales & Marketing

  • Lead research & enrichment
  • Meeting scheduling

Operations

  • Status monitoring & alerts
  • Routine report generation

Product & Engineering

  • In-app assistant features
  • Internal dev-ops tooling
Technologies

Tools & Platforms We Build With

Agent Frameworks

  • LangChain & LangGraph
  • Function/tool calling

Model Providers

  • OpenAI, Anthropic & Azure AI
  • Vector search for context

Integration Layer

  • REST/GraphQL APIs & webhooks
  • Scheduled jobs & queues
AI Technology Stack

Our AI Development Stack

Python

Python

OpenAI

OpenAI

Anthropic Claude

Anthropic Claude

Google Gemini

Google Gemini

LangChain

LangChain

TensorFlow

TensorFlow

PyTorch

PyTorch

Hugging Face

Hugging Face

Qdrant Vector Database

Qdrant

FastAPI

FastAPI

NumPy

NumPy

Jupyter

Jupyter

scikit-learn

scikit-learn

Meta Llama

Meta Llama

Docker

Docker

We Are Best

Why Choose tkdevs

You Own The Code

You have the ownership rights for everything we code for you

You Own The Code

You have the ownership rights for everything we code for you

Top 5% IT Talent

Be pick only the best experienced software developers

Top 5% IT Talent

Be pick only the best experienced software developers

Rapid Software Delivery

We can deploy larger team for your project with tight deadlines

Rapid Software Delivery

We can deploy larger team for your project with tight deadlines

Why Businesses Choose Our AI Agents

  • Scoped To A Clear, Well-Defined Task
  • Connected To The Tools You Already Use
  • Tested Against Real, Messy Examples
  • You Own The Code & Agent Logic
  • Ongoing Monitoring & Support

CALL US 24/7

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Have a repetitive task you want an AI agent to handle? Call us or schedule a consultation and our team will get back to you shortly.
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Faqs

Frequently Asked Questions About AI Agents

A chatbot mostly holds a conversation. An AI agent is built to complete a specific task end to end — pulling data, taking actions in your systems, and producing a result — with minimal ongoing conversation required.
We generally recommend narrow, single-purpose agents — they're easier to test, monitor and trust. For related tasks, we typically build several focused agents rather than one broad one.
Only what's needed for its specific task, using scoped credentials and permissions we define together during the discovery phase.
We build in logging and monitoring so every action the agent takes is traceable, and we test it against real examples before go-live and after any change.
Yes. We regularly build agents as a feature inside an existing SaaS product or internal tool, not just as a standalone bot.
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