Natural language
Process real user queries and map them to intent and actions.
Founding cohort · 10 seats
Hello World to
Hello Agent
An 8-week live cohort where you build a real AI support agent from scratch — core Python, the OpenAI API, and zero framework lock-in.
The philosophy
Understand agents under the hood — not behind a black box.
This cohort is for developers who want to know how AI agents actually work. No heavy frameworks. No abstraction layers that hide the hard parts. By the end, you will ship a locally running, fully functional AI support agent using core Python and the OpenAI API.
You will learn to build real systems, the way senior engineers build them.
- No copy-pasted tutorials
- No framework lock-in
- Enterprise-grade data handling and security
What you will build
An autonomous support agent — end to end.
One capstone system. Built week by week. Running on your machine.
Typed business data
Read, validate, and manipulate real-world data with strict type safety.
Custom Python tools
Execute actions like checking status or cancelling orders through tools you build yourself.
State, errors & UI
Manage state, handle failures gracefully, and ship streaming responses with visual execution indicators.
8-week engineering curriculum
From first script to shipped agent.
Every week ends with a tangible deliverable — not slides.
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Week 01
Python for AI & Data Validation
Master the functional patterns and structured data handling required for AI.
Deliverable: A script that parses complex JSON into strictly typed, error-resistant objects.
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Week 02
The Mental Model & OpenAI API
Understand context windows, API mechanics, and how to force the LLM to output guaranteed structured formats.
Deliverable: Your first local LLM script that outputs reliable, structured data.
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Week 03
Production Prompt Engineering
Stop hoping for good outputs. Learn chain-of-thought, context injection, and handling unexpected user inputs.
Deliverable: A script that accurately answers complex queries using your local data.
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Week 04
Agent Architecture (Vanilla Python)
Demystify the agent loop. Define capabilities, detect intent, and route tasks.
Deliverable: Command-line tool-calling logic for an internal lookup function.
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Week 05
Building the Core Agent
Connect the LLM to local execution. Manage multi-turn conversations, business logic, and policy constraints.
Deliverable: A functional agent that checks status and executes real actions.
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Week 06
Integration & Edge Cases
Handle rate limits, timeouts, and what to do when the LLM hallucinates an action or refuses a task.
Deliverable: A stabilized agent that survives chaotic inputs without crashing.
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Week 07
Enterprise AI Security
Sanitize data flows and secure tool executions against prompt injection and adversarial inputs.
Deliverable: A hardened agent with strict input validation.
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Week 08
Ship It: The Interactive UI
Move from the command line to a polished interface with streaming text and visual status indicators.
Deliverable: A complete, locally running AI agent with a professional UI.
How the cohort works
Live builds. Real feedback. Strict deliverables.
Weekly Live Build
Two hours of live coding, architecture discussion, and real problem-solving. No pre-recorded lectures.
Mid-Week Code Teardowns
Submit weekly. Get asynchronous, personalized feedback on architecture and blockers.
Peer Pods
Grouped with engineers at your level for accountability, shared debugging, and momentum.
Strict Deliverables
Every session ends with a tangible, specific build commitment.
The founding batch promise
First cohort. High touch. Risk-free.
You are helping shape the future of this program — and you get the closest seat to the instructor while you do it.
- Direct access High-touch mentorship with Kaushal throughout the week.
- Curriculum influence Your feedback dictates live debugging sessions.
- Risk-free Full refund after the first two sessions if the cohort does not meet your engineering standards.
Ready to build?
10 spots only. DM BUILD on LinkedIn or reach out directly.
linkedin.com/in/kaushalbhavsar