AI Automation Fundamentals
Learn AI the Way Your Team Will Actually Use It
Most AI training teaches tools. We teach the engineering underneath: how models behave differently with different prompts, tools, and configurations, and how to use that knowledge to build reliable workflows.
Your team is using AI
They're just using it badly
The stats tell the story: 60% of employees use AI tools at work, but 86% admit they're not using them effectively (KPMG/GoTo 2025). The gap is understanding. Your team has ChatGPT/Copilot. What they don't have is a mental model for why the same question gets a great answer one day and garbage the next.
The reason is the harness: the system prompts, tools, temperature, and context that wrap the model. Change any one and the output changes dramatically. Most people never see these controls. We built a tool that exposes them.
The AI Workbench
See what the model actually sees
chat.endstation.ai is an LLM workbench we built for our training sessions. It's not just a chatbot,it's a lab environment where you control the variables that shape AI output.
Compare models
Run the same prompt through different LLMs side-by-side. See why Claude handles your contract review differently than GPT handles it, and when that difference matters.
Write system prompts
Most people never touch the instructions that control how an AI behaves. In the workbench, you write them yourself and watch the output transform.
Toggle tools and skills
Turn web search on and off. Add document generation. See how each capability changes what the model can do and how much context it consumes.
Adjust temperature
Slide from deterministic (temperature 0) to creative (temperature 1) on the same prompt. See the tradeoff between consistency and variety in real time.
Inspect the full prompt
Every commercial AI product hides the system prompt, conversation history, and tool definitions from you. The workbench shows all of it so you understand why the model behaves the way it does.
This is how we teach: by giving you the controls and letting you see for yourself.
Free trial: 5 messages, enough to explore one concept. Full access included with every workshop.
Try the AI WorkbenchThe Workshop
Applied AI Workshop
Live, hands-on, 4 hours. Minimum 5 participants. The right starting point for teams that haven't done structured AI training before.
A structured seminar built for teams that need to go from "I use ChatGPT sometimes" to "I have a repeatable AI workflow running by Friday." Every participant gets a provisioned workbench session for hands-on exercises throughout the training.
What you get
- A provisioned AI Workbench session (chat.endstation.ai) for hands-on practice during and after the workshop
- The VECTOR prompt engineering framework: a repeatable structure for reliable AI output
- A custom 3-prompt library built on your team's real tasks during the session
- An AI usage policy template customized to your industry
What's covered
AI Fundamentals
How LLMs actually work (and fail). Hallucinations, context rot, prompt sensitivity. You'll use the workbench to see these failure modes happen in real time.
AI Landscape & Tool Selection
Which models for which jobs. The workbench lets you run the same task across models and compare output quality, speed, and cost. You'll leave knowing which tool your team should standardize on and why.
Prompt & Context Engineering
The VECTOR framework: Vision, Environment, Constraints, Task, Output, Review. Hands-on: write system prompts in the workbench, adjust temperature, toggle tools, and see how each change affects output. Build your 3-prompt library on real tasks.
AI Agents & Workflows
From chatbots to autonomous workflows. How to identify repeatable tasks, map them as flowcharts, and decide where AI helps vs. where deterministic code is safer. Introduction to n8n, Make, and workflow automation tools.
AI Security & Governance
The Lethal Trifecta (access + untrusted content + exfiltration = breach). Real attacks from January 2026. The workbench's prompt visibility feature demonstrates exactly why "system prompts are suggestions, not security boundaries." You'll draft a one-page AI usage policy before leaving.
Deep Dives
Already have the fundamentals? Go deeper on what matters most
The Applied AI Workshop is our flagship. It's where most teams start, because most teams are still building a shared mental model. But if your team has already been through foundational training (ours or someone else's), we offer four half-day deep dives that pick up where a general introduction leaves off. Each is three hours and builds on the same AI Workbench environment.
AI Workflow Design Workshop
For operations leaders who already use AI individually and want to turn it into repeatable team workflows.
We map your actual processes, identify which steps are deterministic and which need judgment, and prototype a workflow in n8n or Make by the end of the session.
Output: One working workflow your team can keep running
Agentic Engineering Workshop
For technical teams building with Claude Code, Cursor, or similar agent frameworks.
We cover the engineering practices that separate reliable agents from demos: context management, tool design, eval loops, and the failure modes that only show up in production.
Output: A working agent with guardrails and an eval harness
AI Agent Workshop
For ops and product teams evaluating whether to build or buy AI agents for specific workflows.
We walk through the agent design space when an agent is the right tool, when deterministic code is safer, and how to scope an agent engagement so it doesn't turn into a science project.
Output: A go/no-go decision framework for your top three candidate workflows
AI Security Seminar
For IT, compliance, and security teams whose companies are deploying AI without a governance framework.
The Lethal Trifecta, prompt injection, data exfiltration, and model supply-chain risk with real incidents from the last twelve months. HIPAA- and SOC 2-aware by default.
Output: A one-page governance policy template your team leaves with
Not sure which is right? The Applied AI Workshop is almost always the right starting point. Reach out below and we'll tell you honestly.
Built for operations teams, not data scientists
This training is designed for the people who do the work: operations managers, project leads, analysts, customer success teams, and the executives who manage them. No coding required. No prior AI experience assumed.
The content is adaptable to your team's technical level and industry focus.
VECTOR Framework
A framework you'll use after the session ends
Most prompt engineering advice is "be specific" and "give examples." That's not a framework, it's merely a suggestion. VECTOR is a repeatable structure developed by Mateusz Lozykowski, PhD that synthesizes the best elements of SMARTER, WISER, CLEAR, and CRISPE into six steps:
Vision
What does success look like?
Environment
Role, context, data sources.
Constraints
Tone, length, compliance, what to avoid.
Task
The specific, bounded work.
Output
Exact format expected.
Review
Ask the model to critique its own work.
The R step is what separates usable AI output from output that needs heavy editing. In Module 3, you'll apply every step in the workbench with your team's real tasks and see the difference between a VECTOR-structured prompt and the way you've been prompting.
FAQ
Common questions
How long is the workshop?
4 hours, including breaks and hands-on exercises. We can split across two half-days if that works better for your team.
What's the minimum group size?
5 participants. Maximum 25 per session for quality interaction.
Can we do a shorter, focused session instead of the full workshop?
Yes. We run four half-day deep dives for teams that already have foundational AI training — workflow design, agentic engineering, agent evaluation, and security governance. Each is three hours. See the deep-dive section above and use the contact form to inquire.
Can you customize the content for our industry?
Yes. We adjust examples, exercises, and tool recommendations based on your team's domain. Healthcare teams get HIPAA-specific security guidance. Insurance teams work with document processing examples.
Is this remote or in-person?
Both. We're based in Cleveland and Detroit and travel for in-person sessions. Remote workshops use the AI Workbench for all hands-on exercises.
What does my team need to bring?
A laptop with internet access. We provide all materials and provisioned workbench sessions.
What exactly is the AI Workbench?
It's an LLM exploration environment we built at chat.endstation.ai. Unlike ChatGPT or Claude where you only see your conversation, the workbench lets you compare models, write system prompts, toggle tools, adjust temperature, and inspect the full prompt the model receives. It's how we teach: we give you the controls, not just the output.
How does workbench access work?
Each workshop participant gets a provisioned session for hands-on exercises during the training and continued practice afterward. A free 5-message trial is available at chat.endstation.ai if you want to explore the platform before booking.
Can we buy workbench access without the workshop?
Not currently. The workbench is designed as a hands-on companion to our structured curriculum. The 5-message trial gives you a feel for the platform.
Get in touch
Tell us about your team
Fill this out and we'll get back to you within one business day. No sales pitch. We'll help you figure out which workshop is actually the right fit (or whether none of them are).