AI Training for
Small & Mid-Size Business

The Problem

Most owners get generic, surface-level output because they treat AI like a search engine instead of giving it a role, context, and a clear task.

Target Audience

• SMB owners and operators new to AI (0–12 months of experience).
• Solo founders and small teams drowning in admin work.

Prerequisites

• Basic computer and internet familiarity. No AI experience required.

Curriculum

• The SMB Framework: Master the "Persona-Context-Task" (PCT) prompting method to ensure every output matches professional standards.
• The Hallucination Guardrail: Learn the "Human-in-the-Loop" vetting process to identify AI errors before they reach your customers.
• Tool Selection: A deep dive into the current landscape: when to use Claude vs. ChatGPT vs. Perplexity.

ROI

Spend less of the week on administrative drafting and ship work that sounds like you, not a generic chatbot.

The Problem

Agency retainers are out of reach for most small businesses, and starting from scratch is intimidating, so the site stays outdated or unfinished.

Target Audience

• Business owners without a website or stuck on an outdated one.
• Founders who want a professional online presence without agency costs.

Prerequisites

• Course 1 (AI Command Center) recommended for prompting foundations.

Curriculum

• Rapid Deployment: Hands-on workshop using generative builders (Framer/Wix ADI) to go from "Idea" to "Live URL" in 60 minutes.
• Founder-Voice Copywriting: Train AI on your founder story so service pages and SEO copy sound like you wrote them.
• Local SEO Gap Analysis: Use AI to review local competitors and surface the keywords you can realistically rank for first.

ROI

A professional, lead-generating website without an agency retainer or a months-long build.

The Problem

Owners running the business day to day rarely have time to post regularly, so social profiles go quiet for weeks at a time.

Target Audience

• Owners with inconsistent or non-existent social media presence.
• Marketers who need to do more with less time and budget.

Prerequisites

• Course 1 (AI Command Center) recommended. Active social media accounts helpful.

Curriculum

• Content Atomization: Learn to turn a single photo or a 2-minute voice memo into a month's worth of LinkedIn, Facebook, and Instagram posts.
• Digital Twin Branding: Create a "Brand Voice" GPT that learns your tone, slang, and values for consistent messaging.
• Automated Reputation: Set up AI workflows to draft thoughtful, SEO-friendly responses to Google and Yelp reviews instantly.

ROI

Consistent social presence and improved local ranking without hiring a social media manager.

The Problem

Established sites often have steady traffic but low conversion because every visitor sees the same generic landing page.

Target Audience

• Businesses with an existing website and steady traffic seeking higher conversions.
• Teams ready to move beyond basic AI usage into data-driven personalization.

Prerequisites

• Beginner track completed or 12+ months of hands-on AI experience. Active website with analytics.

Curriculum

• Hyper-Personalization: Using AI to dynamically swap website headers and offers based on the user's city or referral source.
• Predictive Heatmaps: Utilize AI vision tools to predict where users will click before you ever run an A/B test.
• Knowledge Base Bot (Intro): A first look at retrieval-augmented chatbots grounded in your own PDFs and manuals — full build covered in the Advanced RAG course.

ROI

Higher conversion on existing traffic and fewer repeat support tickets answered the same way.

The Problem

Video is the highest-converting medium, but it is traditionally the most expensive and time-consuming to produce.

Target Audience

• Marketing leads who need video content without a production budget.
• Sales teams looking for predictive analytics and smarter email campaigns.

Prerequisites

• Beginner track or equivalent AI fluency. Access to 12+ months of sales or email data recommended.

Curriculum

• Virtual Brand Ambassadors: Creating AI avatars (HeyGen/Synthesia) to deliver personalized sales pitches or training videos.
• Sales Pattern Analysis: Use AI to comb 12 months of sales data and surface at-risk accounts and likely top sellers for the coming month.
• Intelligent Drip Campaigns: Building email sequences that use AI to rewrite subject lines in real-time based on what specific users have opened in the past.

ROI

Lowered Cost-Per-Acquisition (CPA) and the ability to produce video content at scale.

The Problem

Most teams use AI in isolated pockets — one person on ChatGPT, another on Canva, a third on Notion AI — so outputs never connect and the same work gets redone.

Target Audience

• Operations leads and office managers ready to connect their AI tools into unified workflows.
• Founders scaling past the point where manual processes keep up.

Prerequisites

• Beginner track or equivalent. Familiarity with at least one project management or CRM tool.

Curriculum

• No-Code Bridges: Connecting your AI tools via Zapier or Make.com to automate data flow from lead form to CRM.
• The AI Chief of Staff: Automated meeting transcription with action-item extraction that syncs into your project management tool.
• Enterprise Risk Management: Establishing a corporate AI policy to protect company data and intellectual property.

ROI

Take routine glue work — handoffs, meeting notes, action items, status updates — off the team's plate so they can focus on revenue work.

The Problem

Different team members get wildly different output from the same AI tools because everyone prompts in their own style. Quality is inconsistent and prompt-writing eats time.

Target Audience

• Operators and team leads who already use AI daily and want to standardize quality.
• Founders building an AI policy and shared toolset for the team.

Prerequisites

• Beginner track or 6+ months of hands-on AI use.

Curriculum

• Pattern Library: Chain-of-thought, few-shot, self-critique loops, and structured JSON output for reliable downstream use.
• Model Selection: When frontier models pay off, when fast/cheap models are enough, and how to read token cost and latency.
• Team Prompt Library: Templates for sales emails, support replies, RFP responses, meeting summaries, and proposal drafts.
• Quality Evaluation: Build a golden-example test set to measure when a prompt actually got better.

ROI

A team-wide prompt library that produces consistent output, with shorter prompt-writing cycles and a way to tell when changes are real improvements.

The Problem

Generic AI does not know your business. Customer support, onboarding, and internal questions still get answered the same way by hand because AI keeps getting the specifics wrong.

Target Audience

• Support, success, and ops leads sitting on a stack of SOPs and FAQs.
• Founders who want a self-serve answer system for staff or customers.

Prerequisites

• The Prompt Engineering Playbook (recommended) or equivalent prompting fluency.
• A working set of internal docs to load (PDFs, Notion exports, Google Docs).

Curriculum

• Data Prep: What to feed the system, what to never feed it (PII, contracts, HR records), and how to clean and chunk documents.
• Stack Choice: Closed platforms (Claude Projects, NotebookLM) vs. self-hosted (pgvector, Pinecone) — cost, control, and effort trade-offs.
• Citations & Eval: Build a 20-question test set to grade answers; measure precision and source coverage before you ship.
• Governance: Versioning the knowledge, removing stale answers, audit trail of what was retrieved and when.

ROI

A working RAG bot trained on your business's documentation, with citations and a test set you can re-run when the docs change.

The Problem

Routine multi-step work — qualifying a lead, sorting an invoice, triaging an inbox — still ties up real people. Simple automation cannot handle the judgment calls, and full hires are too expensive for the volume.

Target Audience

• Ops leads and founders ready to put AI on real work, not just drafting.
• Teams already running Zapier or Make and hitting the limits of rule-based flows.

Prerequisites

• The Prompt Engineering Playbook and the Autonomous Office, or equivalent automation experience.

Curriculum

• Agent vs. Automation: When an agent's judgment pays off vs. when a deterministic Zap is the better answer.
• Build Three Agents: Lead qualification (intake → enrich → route), invoice/receipt processing (OCR → categorize → push to accounting), and inbox/support triage.
• Safety by Design: Scope limits, action allowlists, cost ceilings, human-in-the-loop checkpoints, and full action logging.
• Failure Modes: Prompt injection from inbound email, runaway tool loops, hallucinated tool calls — and the patterns that prevent them.

ROI

Routine multi-step work handled by supervised agents, with logs that show every action taken and a clear cost ceiling per workflow.