Frequently Asked Questions
Everything you need to know about Sit Stay AI workshops, our approach, and how we help small businesses control AI with confidence.
We've compiled answers to the most common questions about our AI training workshops, our teaching methodology, what you'll learn, and how we support your team after training. Whether you're exploring AI for the first time or looking to formalize existing practices, you'll find the information you need to make an informed decision.
Our workshops are designed for small business owners who want practical, hands-on AI training without the hype, jargon, or overwhelm. We teach AI in plain language, focusing on repeatable workflows that produce consistent, on-brand results. Every technique we cover has been tested in real business settings and proven to deliver measurable improvements.
If you don't find your question answered below, please reach out directly. We're always happy to discuss your specific situation and help you determine if our approach is right for your business needs.
About Sit Stay AI
What problem does Sit Stay AI solve?
Sit Stay AI solves the gap between AI hype and day-to-day, dependable work for small teams. Many owners feel overwhelmed by tool sprawl, conflicting advice, and outputs that vary wildly by prompt or person. We replace randomness with a controls-first system that turns AI into a reliable operator, delivering on-brand, auditable work that ships faster.
Who is Sit Stay AI for?
We serve small business owners and teams (1-100 employees) who want reliable AI workflows without hiring specialists. Ideal participants are comfortable with common business tools and value consistency and speed-to-publish over novelty. We're a good fit for those ready to own their workflows and adopt process and measurement.
Who is Sit Stay AI NOT for?
We're not a fit for those seeking managed services, custom machine learning, or a 'do it for me' engagement. We also aren't a match for teams who won't adopt process or measurement. If you're looking for consultants to operate your workflows or build everything for you, our training model isn't the right solution.
What does 'Control AI with Confidence' mean?
It means operating from clear intent, stable guardrails, and repeatable procedures—so teams trust the results, not the trend cycle. Confidence comes from defined objectives, vetted sources, and acceptance criteria that make outputs auditable and on-brand. We apply tested patterns, checklists, and calibration steps that keep results steady as tools change.
Our Approach
What makes Sit Stay AI's approach different?
Our approach centers on controls, constraints, and rules instead of 'tool tours.' We teach one exemplar workflow end-to-end, then calibrate your inputs, style rules, sources, and acceptance criteria so quality is auditable. You leave with templates, SOPs, and a repeatable framework. Rather than chase features, we specify the system once and swap components without breaking outcomes.
Why focus on controls and constraints instead of just showing tools?
We emphasize controls and constraints because tools are volatile and frameworks are durable. Without a framework, teams get novelty but not reliability or scale. Controls compress variance, constraints reduce error surfaces, and rules make quality verifiable. When a new tool appears, we slot it into the existing pipeline, preserving outcomes while keeping optionality.
Why teach in plain language instead of technical jargon?
We teach in plain language because accessibility drives adoption and sustained use. If people can't explain the system simply, they won't rely on it under pressure. Clear steps and demonstrations reduce hesitation and speed handoff between roles. Plain language also improves QA because criteria are unambiguous.
How was Sit Stay AI itself built with AI?
We built Sit Stay AI with AI across naming, brand voice, site copy, curriculum mapping, and campaigns. AI excelled at zero-to-first-draft speed. We solved challenges with tighter briefs, better source libraries, and rule-based QA. The process taught us which controls matter most—lessons that power what we teach.
Curriculum & Tracks
How is your curriculum structured?
We offer five specialized tracks with four levels each (100-400). The 100-level introduces concepts and 'why it matters.' The 200-level is hands-on 'how to.' The 300-level covers strategic implementation. The 400-level provides advanced deep dives. Start at any level that matches your experience.
What are the five workshop tracks?
TCS (The Core Skill) teaches the Sit Stay Method: Model, Context, Tools, and Prompt. TME (The Marketing Engine) covers AI content creation, visuals, video, and campaigns. TOE (The Operations Engine) teaches workflow automation, customer service, and operations. TGE (The Growth Engine) focuses on ROI analysis and business intelligence. TCB (The Custom Build) teaches you to build your own AI tools, chatbots, and products.
Which workshop should I start with?
If you're new to AI, start with TCS-101 (The AI-Powered Business: What's Possible) to see what's possible and identify your needs. For content creators, start with TME-101 (AI Content in 30 Days). For efficiency-focused teams, start with TOE-101 (Automate Your First Workflow). Each track's 101 workshop requires no prerequisites.
What is the recommended learning path for beginners?
We recommend The AI Beginner path: TCS-101 (see what's possible), then TOE-101 (automate your first workflow), then TME-101 (AI content in 30 days), then TGE-101 (find your $1,000 AI opportunity). This gives you a solid foundation across all key areas before specializing. View all five learning paths at sitstayai.com/workshops/learning-paths.
Workshop Details
What will I be able to do after attending a workshop?
You'll have a controlled pipeline from brief to publish that fits your stack. You'll standardize email, landing page, and blog drafting in your brand voice. You'll automate turning notes into documentation, FAQs, and SOPs with fewer edits. QA and acceptance criteria will reduce revision loops. The net effect is more throughput with less chaos.
What deliverables do I get from the workshop?
Everyone leaves with a working starter kit: brief templates, prompt libraries, a style guide with tone rules and glossary, and a repo structure. Hands-on workshops also include SOPs for approvals and checklists for quality. Advanced formats add measurement sheets to track time and cost per asset. Plus, you get a personalized 30-day action plan. Everything is designed to work immediately.
How is each workshop session structured?
The structure is steps, examples, guided practice—because people learn by doing. We show an end-to-end build, then coach you through your version in your tools. Hands-on time locks in skills and uncovers edge cases early. In-person lets us resolve blockers, calibrate voice, and finalize acceptance criteria on the spot.
What should I bring to the workshop?
Bring a laptop with login access, and 2-3 recent assets you want to replicate. Bring brand guidelines or examples you like and dislike to calibrate style quickly. No AI background is required—basic comfort with common tools is enough. Come ready to build and test, not just observe.
Why teach in-person instead of online?
In-person is primary because it surfaces context and blockers that online courses miss. Real-time calibration of inputs, examples, and QA criteria accelerates success. We can adapt to your stack, your voice, and your constraints immediately. The feedback loop is tighter, and outcomes are more reliable.
Results & Outcomes
What does 'practical AI for predictable results' mean?
It means work that ships in your current stack this week—and looks the same every time. Practicality shows up in templates, checklists, and guardrails that real teams can use under pressure. Predictability means the same inputs produce on-brand outputs at a known effort level. It's the difference between a one-off success and repeatable throughput.
Why does this matter right now?
AI has reset expectations for speed, cost, and consistency across the market. Competitors are already automating workflows, which compounds advantages every month. Teams that delay fall behind in throughput and margin. We help teams adopt fast with controlled, measurable wins to keep pace confidently.
Support & Resources
What support is available after the workshop?
After the workshop, you get office hours, Q&A, and updated resources as tools evolve. We provide playbook refreshes and guidance on integrating improvements safely. You can validate changes against your metrics to confirm ROI. We remain available for targeted troubleshooting without taking over operations.
How do you ensure I can apply this without hiring specialists?
We design workflows so you don't need a specialist to maintain them. Templates, SOPs, and checklists remove guesswork. We target common tools and provide alternatives when needed. The system is explicit enough for cross-training. Capability stays inside your team where it belongs.
How does Sit Stay AI stay current as AI evolves?
We keep the framework stable and test tools rigorously before recommending them. New tools must improve speed, quality, or control to enter the playbook. We validate them inside our own operations first. Curriculum updates ship on a set cadence with clear change notes. This balances principle-based learning with pragmatic tool shifts.
Business Model
Why don't you operate as consultants?
We don't parachute in as consultants because dependency slows teams and inflates cost. Our philosophy is to teach capability and transfer control. When your team owns the process, you move faster and protect your brand. We optimize for your autonomy, not our billable hours.
Why don't you operate client workflows as a managed service?
We don't operate workflows because internal ownership scales better. Outsourcing core operations can hide risks and dilute brand over time. We help you stand up a controlled system and keep it healthy. Your team learns, improves, and measures results directly, building durable competence.
What is the money-back guarantee?
We offer a 100% money-back guarantee. No questions asked. You can refund yourself anytime before the workshop ends. We're confident in the value we deliver and want you to feel secure in your investment.
Understanding AI Training for Small Business
Artificial intelligence has transformed from an experimental technology into an essential business tool, but most AI training programs remain inaccessible to small business owners. They assume technical backgrounds, teach theoretical concepts without practical application, or focus on enterprise use cases that don't translate to smaller operations. Sit Stay AI was created specifically to address this gap.
Our workshops recognize that small business owners face unique constraints: limited time, tight budgets, no dedicated IT staff, and the need for solutions that work reliably without constant maintenance. We design every aspect of our training with these realities in mind. The techniques we teach can be implemented with tools you may already use, and they produce results on the first day, not after months of customization.
The core principle behind our approach is that AI should be controlled, not chased. Rather than teaching you to follow every new feature announcement or tool release, we focus on building a stable foundation of workflows, templates, and quality controls. When new AI capabilities emerge, you evaluate them against your established framework rather than starting from scratch each time.
What Makes Effective AI Training
Effective AI training goes beyond tool demonstrations to teach transferable skills that work across platforms. When you understand the principles of prompt engineering, input calibration, and output quality assurance, you can apply these concepts whether you're using ChatGPT, Claude, Gemini, or any future AI system. Our curriculum prioritizes these foundational skills over tool-specific features that may change next month.
We also emphasize the human elements of AI adoption: change management within teams, quality control processes, and clear ownership of workflows. Technical skills matter, but they're only part of successful AI implementation. Teams need shared vocabulary, agreed-upon standards, and explicit criteria for what constitutes acceptable output. Our workshops address all of these elements.
Another key differentiator is our focus on measurable outcomes. We don't teach AI for its own sake or chase impressive demos that don't translate to real work. Every technique we cover comes with criteria for evaluating whether it's actually helping your business. If an AI workflow takes longer than manual work or produces lower quality output, it shouldn't be in your toolkit.
The In-Person Training Advantage
While online courses and tutorials have their place, in-person training offers distinct advantages for skill development. Real-time interaction with instructors allows for immediate feedback on your specific use cases. When you encounter an unexpected result or edge case, we can troubleshoot together rather than leaving you to figure it out alone. This accelerates learning and builds confidence.
In-person workshops also allow us to calibrate our teaching to your actual business context. We can review your existing content, understand your brand voice, and help you configure AI tools for your specific needs. Generic online training teaches generic techniques; our workshops produce customized workflows tailored to your operation.
The hands-on practice component is equally important. Reading about AI or watching demonstrations creates awareness but doesn't build competence. Building your own workflows during the workshop, with expert guidance available when you get stuck, develops the muscle memory and intuition that makes AI use second nature. You leave not just knowing what to do, but having done it.
Building Internal AI Capability
One of the most important decisions small businesses face is whether to build internal AI capability or outsource it. We strongly advocate for internal capability for most core business functions. When your team understands AI workflows, you maintain control over quality, brand voice, and strategic direction. Outsourcing these competencies creates dependencies and often dilutes what makes your business distinctive.
Building internal capability doesn't mean every team member needs to become an AI expert. It means having enough people with sufficient skills to handle day-to-day AI tasks, evaluate new tools, and maintain quality standards. Our workshops are designed to create this foundational capability efficiently, without requiring months of study or technical backgrounds.
The knowledge transfer model also makes economic sense. A single workshop investment creates skills that compound over time as team members apply what they've learned to new challenges. Compare this to ongoing consulting fees that stop producing value the moment you stop paying. We'd rather help you become self-sufficient than create a long-term dependency on our services.
AI Training for Different Business Functions
Different business functions benefit from AI in different ways. Marketing teams use AI for content creation, campaign ideation, and audience analysis. Operations teams automate documentation, reporting, and process workflows. Customer service teams leverage AI for response drafting, FAQ management, and ticket categorization. Sales teams apply AI to proposal writing, prospect research, and follow-up sequences.
Our training covers cross-functional applications that benefit any role while also diving deep into function-specific use cases. We help you identify where AI will have the biggest impact on your particular operation and prioritize those applications. Not every AI capability is worth pursuing; we focus on the ones that deliver real return on investment for your business.
For teams with multiple functions represented, workshops create shared understanding that improves collaboration. When marketing and operations both understand AI capabilities and limitations, they can design workflows that span departments without creating handoff problems. This integrated approach produces better outcomes than siloed AI adoption.
Maintaining Quality in AI-Assisted Work
A common concern about AI adoption is quality control. Will AI-generated content meet your standards? How do you catch errors before they reach customers? What processes ensure brand voice consistency? These are valid questions, and we address them directly in our training with explicit quality frameworks.
Quality in AI-assisted work starts with clear acceptance criteria. Before generating any output, you define what good looks like: tone requirements, factual accuracy standards, formatting expectations, and brand voice elements. These criteria guide both the AI prompting and the human review process. Without clear criteria, quality reviews become subjective and inconsistent.
We also teach calibration techniques that improve AI output quality at the source. By providing appropriate examples, constraints, and style guidance, you can dramatically reduce the editing required for AI-generated content. The goal is outputs that need polishing, not complete rewrites. Properly calibrated AI workflows can produce first drafts that are 80-90% ready for publication.
Getting Started With AI Training
If you're considering AI training for yourself or your team, start by identifying your highest-value use cases. Where do you spend the most time on repetitive tasks? What workflows create bottlenecks? Which outputs require the most revision cycles? These pain points often indicate the best opportunities for AI assistance.
Next, assess your team's current AI comfort level. Some team members may already be experimenting with AI tools informally. Understanding existing knowledge helps us tailor training to fill actual gaps rather than covering ground people already know. It also identifies potential internal champions who can support broader adoption.
Finally, consider what success looks like for your business. Is it faster content production? More consistent quality? Reduced revision cycles? Specific metrics help us customize training focus and give you clear criteria for evaluating return on your training investment. We want you to know exactly what you gained from working with us.
Browse our upcoming workshops to find a session that fits your schedule, or contact us to discuss private training for your team. We're happy to answer any questions not covered here and help you determine if our approach is right for your business needs.