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Screenshots of the finished app will be added here before it goes on sale.

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AI Agent Application

An agent built with LangGraph that plans multi-step workflows, calls tools and external APIs, and keeps memory between turns. A practical base for building your own agents.

from ₹499 at launch

One-time payment · 3 editions · licence · not on sale yet

For: Aspiring AI engineers

Overview

The problem it solves

Agent tutorials stop at one tool call. Real agents need several steps, memory, error handling and limits so they don't loop forever. This app shows all of that in one working codebase.

Who it's for

Aspiring AI engineers · Advanced level

Main benefits

  • A working LangGraph agent you can extend with your own tools
  • Memory across turns, stored so conversations survive a restart
  • Safe defaults - step limits, error recovery, confirmation before actions
  • The agent patterns asked about in AI engineering interviews

Features

This app is in development. These are the features of the finished app; screenshots and the exact file list will be added before it goes on sale.

What it does

  • Chat with an agent that plans and carries out multi-step tasks
  • Tools that call external APIs
  • Remembers the conversation across turns
  • Asks before taking actions that change things

Technical capabilities

  • LangGraph state graph with tool-calling nodes
  • Tool definitions with typed arguments
  • Conversation memory persisted with SQLite checkpoints
  • Step limit, retries and error handling for tool failures
  • FastAPI endpoint for chatting with the agent

Architecture

flowchart LR
  U[User] -->|message| API[FastAPI endpoint]
  API --> A[LangGraph agent]
  A --> L[Groq LLM: plan next step]
  L -->|tool call| T[Tools]
  T -->|result| A
  T --> X[External APIs]
  A <--> M[(Memory: SQLite checkpoints)]
  L -->|final answer| U

Data flow

  1. The message reaches the FastAPI endpoint and is added to the conversation state.
  2. The LLM decides the next step - call a tool, or answer.
  3. Tool calls run with typed arguments; results go back into the state.
  4. The loop repeats until the LLM answers or the step limit is reached.
  5. The state is saved as a checkpoint, so the conversation continues next time.

Backend components

  • FastAPI chat endpoint
  • Tool implementations and API clients
  • SQLite checkpoint store for memory

AI components

  • LangGraph state graph (agent and tool nodes)
  • Groq-hosted LLM with tool calling
  • System prompt with rules for tools and confirmations

Technology stack

TechnologyWhat it does here
PythonThe language of the whole app
LangGraphAgent graph, state and loops
GroqLLM with tool calling
FastAPIAPI to chat with the agent
SQLiteStores memory checkpoints

What's included

Everything is delivered as a private download after payment. Nothing paid is ever public on this site.

What you getLearnerCareerDeveloper
Complete source code (ZIP)The whole application: backend, frontend and configuration, organised as a real project.✓✓✓
READMEWhat the app does, how the code is organised and how to run it.✓✓✓
Requirements filerequirements.txt with pinned versions, so installs are repeatable.✓✓✓
Environment example.env.example listing every setting and API key, with safe defaults.✓✓✓
Setup tutorialStep-by-step guide from download to a running app on Windows, macOS or Linux.✓✓✓
Architecture diagramThe diagram on this page as an image, plus the source to edit it.–✓✓
Architecture walkthroughWhy each component exists and how a request flows through the code.–✓✓
Interview Q&AQuestions interviewers ask about a project like this, with model answers.–✓✓
Resume bullet pointsReady-to-adapt bullet points describing the project for your resume.–✓✓
Docker configurationDockerfile and docker-compose.yml to run it in containers.––✓
Test casesAutomated tests (pytest) for the main features.––✓
Deployment guideHow to deploy it to a cloud platform, with the settings to change for production.––✓

System requirements

PythonPython 3.11 or newer
Memory (RAM)2 GB
Disk spaceAbout 500 MB for dependencies
Python packageslanggraph langchain-groq fastapi uvicorn httpx
API keys and servicesA Groq API key (Groq offers a free tier with rate limits)
Keys for any extra APIs you connect yourself
Operating systemWindows, macOS or Linux

Choose your edition

Learner Edition

₹499 one-time · at launch

Learn how it works and run it yourself.

  • Complete source code (ZIP)
  • README
  • Requirements file
  • Environment example
  • Setup tutorial

Licence: Personal licence

Support: Help by email if a file is missing or won't open.

Notify me at launch
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Career Edition

₹799 one-time · at launch

Everything to present it in interviews and on your resume.

  • Complete source code (ZIP)
  • README
  • Requirements file
  • Environment example
  • Setup tutorial
  • Architecture diagram
  • Architecture walkthrough
  • Interview Q&A
  • Resume bullet points

Licence: Personal licence

Support: Help by email if a file is missing or won't open.

Notify me at launch

Developer Edition

₹1,499 one-time · at launch

Production extras and a commercial licence for client work.

  • Complete source code (ZIP)
  • README
  • Requirements file
  • Environment example
  • Setup tutorial
  • Architecture diagram
  • Architecture walkthrough
  • Interview Q&A
  • Resume bullet points
  • Docker configuration
  • Test cases
  • Deployment guide

Licence: Commercial licence

Support: 30 days of email support for setup and code questions, plus help with file problems.

Notify me at launch

Prices are in Indian rupees, one-time, with no subscription. Not on sale yet: "Notify me" adds you to the launch list for this app.

Licence and support

Personal licence

Use the code to learn, run it for yourself and show it in your portfolio and interviews. You may not resell or redistribute the code, or use it in work for clients.

Comes with: Learner Edition, Career Edition

Commercial licence

Everything in the personal licence, plus use in your own commercial products and in work for clients. You may not resell or redistribute the source code itself, as-is or as a template.

Comes with: Developer Edition

  • Learner Edition: Help by email if a file is missing or won't open.
  • Career Edition: Help by email if a file is missing or won't open.
  • Developer Edition: 30 days of email support for setup and code questions, plus help with file problems.

Full wording: Licence information · Refund policy

FAQ

When can I buy it?

It's in development and not on sale yet. Leave your email below and you'll get one email when it launches.

Which edition should I choose?

Learner if you want to study the code and run it yourself. Career if you'll present it in interviews or on your resume: it adds the architecture walkthrough, interview Q&A and resume bullet points. Developer if you'll use it in client or commercial work: it adds Docker, tests, a deployment guide, a commercial licence and 30 days of email support.

How will I receive the files?

After payment you'll get a private download of the ZIP for your edition. Paid files are never public on this site.

Does it include API keys or hosting?

No. You'll use your own API keys (see System requirements) and run it on your own machine or server.

Can I use it for client work?

Only with the Developer Edition's commercial licence. See Licence information.

Can I get a refund?

See the Refund & Cancellation Policy. It will be updated with the terms for source code before any app goes on sale.

I have a question that isn't answered here.

Use the contact page or email aiwithpriyabrat@gmail.com. We reply within 2 working days.

Get AI Agent Application at launch

It's in development. Leave your email and you'll get one message when it goes on sale, from ₹499. No spam.

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