AI Chatbot Design,
Built Around How Groups Actually Learn
A structured group program covering chatbot architecture, crypto automation, and AI trading bot development - from concept to working deployment. Participants collaborate, review each other's work, and leave with real, tested projects.
Six Modules, One Coherent Arc
Each module builds directly on the last. By the end, participants have designed, tested, and deployed a functioning AI chatbot - and understand the logic behind every decision.
Chatbot Architecture Fundamentals
How modern AI chatbots are structured - intent detection, dialog flow, and state management. Covers the core patterns used across consumer and enterprise systems.
Connecting to External Services
Working with REST APIs, webhooks, and platform-specific endpoints. Includes hands-on sessions with the Binance website API and standard messaging platforms.
Testing Logic Against Historical Data
Backtesting methods for crypto bot strategies. Participants run simulations using real market datasets and learn to read results critically - not just optimistically.
Building Reliable Auto Trading Bots
Designing auto trading bot workflows that handle edge cases - missed signals, rate limits, and partial fills. Crypto automation without fragile shortcuts.
Peer-Led Code Review Sessions
Each participant presents their bot or chatbot to the group. Structured feedback covers both logic and implementation. Problems surface faster when six people look at the same code.
Shipping a Working Project
Final module covers deployment pipelines, monitoring, and maintenance. Participants leave with a live, running system - not just a local prototype.
How Each Week Is Structured
Concept Session
New material introduced with live examples. Participants ask questions in real time - no recorded lectures watched alone.
Group Lab
Small groups work on a shared problem. Facilitator rotates between groups, observing and prompting rather than directing.
Individual Build
Each participant applies the week's material to their own project - a chatbot, a crypto automation script, or a bots for trading prototype.
Async Review
Written feedback from peers and facilitators on each submission before the next session starts. Specific, not generic.
Questions Worth Answering Directly
Practical questions about the program structure, technical scope, and what participants actually build.
Do I need prior coding experience?
What platforms does the curriculum cover?
How does group-based learning work here?
Is backtesting part of the curriculum?
What does the final project look like?
Facilitated by practitioners
Sessions are led by people who have built and shipped AI chatbots and automated trading systems - not instructors reading from slides.
