LuxeLens Media · Course 02

The Prompt & Automation Academy

Most AI courses teach you to write clever prompts in a chat window. This one takes you all the way to a live, deployed automation system — the kind people pay to have built for them.

Enrol — $800 one-time See all 27 lessons
Modules
7
Lessons
27
Capstone
1 deployed build
Access
Lifetime
What you'll be able to build SYS / 01
TRIGGER form · email · schedule PROMPT LAYER role · context · schema AGENT decides · uses tools ACTION send · write · update RESULT logged · monitored

The gap

Why most AI courses leave you stuck

Cheap bootcamps skim the surface and go stale in months. Subscription platforms go deep on theory but rarely get you to something that actually runs. Neither ends with a system you could hand to a client.

What's out there

  • Prompt tricks with no systems thinking behind them
  • Theory-heavy lessons that never leave the chat window
  • Recurring $40–$99/month just to keep access
  • Content that breaks the moment a model updates
  • No answer to "how do I get paid for this?"

What you get here

  • Every framework tied to a real tool — n8n, Zapier, function calling
  • A capstone that ends with a live, deployed, working system
  • One payment. Lifetime access. Free updates as tools change
  • Troubleshooting taught properly, not skipped
  • A full module on scoping, pricing and selling automation work

Included

Assets you keep, not just videos

The lessons teach the skill. These are the things that save you weeks once you start building for real.

01

The Prompt Vault

Over 100 tested prompt templates, sorted by task, ready to adapt to your own projects.

02

Automation Blueprints

Pre-built flow diagrams for the automations clients request most, so you're not starting from an empty canvas.

03

Capstone Review

Structured feedback on your finished system before you put it in front of anyone who's paying.

04

Lifetime Updates

Models and tools shift constantly. When lessons get rebuilt, you get them — no "2.0" upsell.

Curriculum

Seven modules, twenty-seven lessons

Nothing hidden behind the checkout. Open any module and read exactly what's inside before you spend a cent.

1.1What a large language model actually isWhy it's prediction, not lookup or reasoning — and why that changes how you prompt.
1.2Tokens, context windows & memory limitsWhy long conversations forget things, and how to work around it deliberately.
1.3Comparing the major model familiesGPT, Claude, Gemini and open-source — what each is genuinely better at.
1.4Setting up your toolkitAccounts, API keys, safe storage, and a workspace that stays organised.
2.1Anatomy of a high-performing promptRole, context, task, constraints, format — and what breaks when one is missing.
2.2The Role–Context–Constraint frameworkOne formula you can apply to any task, walked through on three real examples.
2.3Chain-of-thought & reasoning promptsGetting the model to show its work so you catch errors mid-process.
2.4Few-shot vs zero-shotWhen examples help, when they hurt, and how to write ones that teach.
2.5Diagnosing & fixing failure modesA troubleshooting checklist for the four ways prompts go wrong.
3.1Prompt chainingBreaking complex tasks into linked steps so errors stay contained.
3.2Structured outputs for automationForcing clean JSON so your prompts can talk to other software. The bridge skill.
3.3Retrieval-augmented promptingGrounding answers in your own documents instead of the model's guesses.
3.4Cross-model workflowsCheap model for simple steps, strong model where it counts — cutting cost without losing quality.
4.1n8n, Zapier & Make comparedAn honest breakdown of the tradeoffs, then picking one and going deep.
4.2Connecting AI models into flowsThe moment a prompt stops being something you type and becomes something that runs.
4.3Triggers, actions & data flowHow data moves through an automation — and how to debug it when it doesn't.
4.4Your first end-to-end buildEmpty canvas to a working, tested automation in one sitting.
5.1What actually makes something an agentCutting through the most misused word in AI right now.
5.2Tool use & function callingGiving a model the ability to take real actions, not just describe them.
5.3Memory & context managementKeeping an agent coherent across long, multi-step tasks.
5.4Multi-agent collaboration patternsManager/worker and sequential handoff — narrow roles beat one clever generalist.
5.5Deploying & monitoring agentsLogging, guardrails and approval steps so nothing runs unsupervised that shouldn't.
6.1Content pipeline automationResearch to draft to published — and where to keep a human checkpoint.
6.2Inbox & customer service automationTriage and drafted replies, with clear lines on what should never auto-send.
6.3Data processing & reportingThe least glamorous, most consistently billable automation work there is.
6.4Packaging & selling systemsScoping, pricing, and pitching the outcome instead of the tool names.
7.1Planning your capstoneScoping something ambitious enough to matter and small enough to finish.
7.2Build weekStructured checkpoints, common blockers, and when to cut scope instead of pushing through.
7.3Testing & refiningMessy real-world inputs, silent failures, and reading your own logs.
7.4Deployment & documentationGetting it live and writing it up so someone else could maintain it.
7.5Presenting & selling your systemTurning the capstone into a portfolio piece or a live client pitch.

Enrol

One payment. Everything included.

$800

One-time · Lifetime access

  • All 7 modules and 27 lessons, available immediately
  • The Prompt Vault — 100+ tested templates
  • Automation Blueprints for the most-requested builds
  • Structured review of your capstone system
  • Every future update, free, for as long as the course exists
Enrol now

Questions first? Email connor@luxelensmedia.co

FAQ

Before you enrol

No. The automation modules are built around no-code tools like n8n and Zapier. You'll work with structured data and API keys, but you won't be writing software.

The tools will change — that's certain. The frameworks won't, because they're about how these models behave rather than which button to click. When a lesson does need rebuilding, you get the new version at no extra cost.

You'll work across several, because that's how real automation work is done. Module 1 covers the differences so you can pick the right one per task rather than defaulting to one brand.

You'll need API credit and, eventually, an automation tool subscription to run things continuously. Both have free or low-cost tiers that carry you through the whole course. Module 1 covers exactly what to sign up for and what to skip.

It's self-paced with lifetime access. Most people working a few hours a week finish the lessons in around six weeks, then spend one to two more on the capstone build.