apartment Requested Team Training

How to Create Software Systems with AI Agents

A 4-day, 4-hours-a-day engagement using ChatGPT, Claude, Codex, and Claude Code — customized around your business, built on-site at your location or at Center Street Station in Sikeston, MO. Requested and scoped for the specific business that asks for it.

Request This Training arrow_forward View the 4-Day Curriculum
From $499Per employee trained 4Days, 4 hrs/day 3 of 9Internal tools built On-siteOr Sikeston, MO
route How the 4 Days Break Down

Days 1-2 are the foundation. Days 3-4 are your real tools.

Heavy emphasis on prompt engineering and context engineering — the skill that makes your team context specialists and junior engineering managers, judging the quality of what an AI coding agent produces, not necessarily typing every line of it themselves.

event Day 1 · 4 hours

Research & Context

  • arrow_forwardResearch principles with ChatGPT — turning an ambiguous business problem into a clear, structured ask
  • arrow_forwardPrompt engineering and context engineering fundamentals — the core skill of the whole week
  • arrow_forwardTurning research into a structured PDF asset that Claude (and any AI) can read and build from
  • arrow_forwardTerminal basics and VS Code with the Claude Code and Codex extensions — both interfaces, participants choose
  • arrow_forwardQuick file-system navigation dive, terminal and OS folder view alike
  • arrow_forwardTool #1 selected and kicked off
event Day 2 · 4 hours

Build & Review

  • arrow_forwardScaffolding backend architecture with Codex — data model, API, and what's actually happening under the hood, explained
  • arrow_forwardCrafting a professional, well-designed interface with Claude Code
  • arrow_forwardReviewing AI-generated code like a junior engineering manager: judging quality and fit, not necessarily writing it by hand
  • arrow_forwardTool #1 working end to end
event Day 3 · 4 hours

Parallel Build

  • arrow_forwardTools #2 and #3 kicked off at the same time
  • arrow_forwardDirecting multiple agent workflows in parallel — vibe coding with proper management
  • arrow_forwardRunning the same research → context → scaffold → refine flow independently
event Day 4 · 4 hours

Refinement & Fun

  • arrow_forwardRefining and polishing all 3 tools
  • arrow_forwardA capstone build: a simple web game using the same systems-architecture thinking — scenes, state, entities, events
  • arrow_forwardWrap-up — everyone leaves with 3 real internal tools, ready for work or home
build Choose 3 of 9

A menu of internal tools that could help your business immediately.

support_agent

Customer / Client Intake Agent

Turns a new inquiry into structured, routed, ready-to-work information.

search

Internal Knowledge & Document Search Assistant

Ask a question, get an answer pulled straight from your own files.

bar_chart

Reporting & Analytics Dashboard

Turns scattered data into a live view leadership actually checks.

calculate

Quote / Estimate Generator

Structured pricing output from a job's real details, in minutes.

calendar_month

Scheduling & Operations Coordinator

Keeps jobs, staff, and resources lined up without the manual juggling.

fact_check

Document & Compliance Intelligence Tool

Extracts, flags, and organizes what's buried in paperwork and policy.

inventory_2

Inventory & Resource Tracker

Real-time visibility into what you have, what's low, and what's next.

forward_to_inbox

Follow-Up & Outreach Automator

Nothing falls through the cracks after the first conversation.

rule

Workflow & Approval Automation Agent

Routes a request through the right steps and the right people, automatically.

architecture What Actually Changes

Your team starts seeing code as a living system, not a file of instructions.

They learn to direct AI agents, design data models and APIs, debug failures, and use Git checkpoints — then go further than a generic course: build 3 real internal tools for your actual business, and ship against real scenarios.

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A builder and a local business owner reviewing an internal dashboard built during a requested AutoNateAI training engagement

Tools built for your organization

Data models, API endpoints, agent workflows, and decisions shaped by your real business, not a hypothetical one.

A builder reviewing AI-generated code changes during a training engagement

AI-assisted engineering habits

Use Claude Code and Codex to plan and build faster while Git commits, diffs, and architecture notes keep the work explainable.

Real scenarios your team defines

Define who each tool needs to work for, then run it against those scenarios before the engagement ends.

Nathan Baker, founder of AutoNateAI
verified Who's Leading It

Led by an engineer who has built AI and software systems across Microsoft, Citi, Veterans United, and Atomic Object.

Nathan Baker studied Computer Science at the University of Michigan and has spent the last five years building real software, AI workflows, and software architectures inside organizations where clarity and reliability matter — most recently as Senior Software Consultant and Developer at Atomic Object.

That consulting background shapes every engagement: showing up, understanding your real workflow, and building something your team can actually run — not a generic curriculum with your logo on it.

Request Training arrow_forward About AutoNateAI
local_activity Requested Training

From $499 per employee for the full 4-day engagement

Includes agent setup help, Git repo guidance, architecture coaching, dedicated AutoNateAI Discord access, and the 4-day on-site engagement itself. See full pricing and request the engagement.

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