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Learn AI without the overwhelm.
A practical on-ramp for small businesses and non-profits. We focus on clear outcomes, realistic setup, and the smallest next step that actually helps your team.
What you get
- Plain-language AI introduction
- Starter projects that deliver real value
- Hardware guidance for small, affordable setups
- Optional advanced track for teams already shipping
Learning Hub is almost ready.
We are finalizing the Introduction to AI and Crash Course modules. The AI ROI Toolkit is live today and open to everyone.
Your learning path
Pick the lane that fits your comfort level. You can start at beginner and switch to advanced any time.
Beginner Track
Goal, payoff, setup, and practical details in plain English.
Best for new teamsAdvanced Mode
Operational playbooks, tooling depth, and automation design.
Best for hands-on buildersIntroduction to AI
A non-technical walkthrough that starts with what you want to improve, not with tools or hype.
The goal
Identify one workflow where AI can remove busywork or speed up decisions.
The payoff
Show time saved, quality gains, or revenue impact you can track.
The setup
What data, access, and team roles are needed to get started.
The practical details
Clear steps for a 2-4 week pilot that stays within budget.
Thought leaders (coming soon)
Short, curated list of trusted voices with practical guidance.
PlaceholderStarter projects (coming soon)
Small wins: auto-summaries, intake triage, and response drafting.
PlaceholderHardware setups (coming soon)
Raspberry Pi 5 + Clawdbot build notes and parts list.
PlaceholderAI Crash Course (in progress)
A focused, step-by-step guide to move from idea to first automation.
Week 1: Discover
Pick the right workflow, map inputs/outputs, and set success metrics.
Week 2: Prototype
Build a lightweight pilot, validate outputs, and document the process.
Week 3: Integrate
Connect data, assign ownership, and define review checkpoints.
Week 4: Launch
Train the team, go live, and capture early wins.
Coming soon: guided prompts, worksheets, and templates. Want early access?
Request early accessAdvanced Mode
For teams already experimenting with AI tools. Go deeper on reliability, governance, and automation design.
Operational readiness
Define owners, guardrails, and a review cadence before scale.
System design
Map data flows, automate handoffs, and reduce human bottlenecks.
Quality control
Build feedback loops, track errors, and improve over time.
Security and compliance
Clarify data boundaries and avoid risky automation.
Ready for the next step?
Start with ROI, or talk to us about a custom learning plan for your team.