Make AI useful in your everyday work.
Start with something on your plate. Practice with live guidance and build confidence one task at a time.
Build a way of working you can use again.
Explore individual trainingWho's climbing?
One trusted guide for every altitude. Pick where you're starting.
Give your team a shared way forward.
Practice together on the work your team actually does. Agree what good output looks like and how to check it.
Your team leaves with shared, repeatable AI habits.
Plan a team cohortBuild adoption around your people.
Connect hands-on learning with clear ownership, sensible guardrails and a pilot you can evaluate.
Give adoption a practical starting point.
Talk about an org rolloutA little practice. A different result.See what better
See what better
AI work looks like.
This is the kind of thinking we practice together: give useful context, shape the output, and check what matters.
01 / Start with real context
Make the meeting useful.
Launch meeting / Tuesday Sam: draft ready Friday Need accessibility review — owner? Maya to check the signup form Budget still open. Next check-in Monday.
02 / Shape a useful draft
- Action
- Sam — draft ready Friday.
- Action
- Maya — check the signup form. Due date not assigned.
- Open question
- Who owns the accessibility review?
- Open question
- Budget is not yet decided.
- Next check-in
- Monday.
03 / Keep a person in the loop
The AI organized the notes. A person still needs to assign the accessibility review and confirm the budget.
See the prompt behind this example
Turn these notes into a brief. Separate decisions, actions and open questions. Keep named owners exactly as written. Mark missing dates or owners as “not assigned.” Do not fill in gaps.
Make it a habit. Save this structure as your meeting-brief template. Reuse it, then check every owner and commitment.
01 / Start with real context
Make the handoff clear.
Weekly handoff Order A17 waiting on supplier confirmation Jo following up Thursday A18 ready to pack A19 address needs checking No one assigned to A19 yet.
02 / Shape a useful draft
- A17
- Waiting on supplier. Jo follows up Thursday.
- A18
- Ready to pack. Packing owner not assigned.
- A19
- Address needs checking. Owner not assigned.
- Review needed
- Confirm owners before handing this list over.
03 / Keep a person in the loop
“Ready to pack” does not mean shipped. Check that the draft preserves the original status.
See the prompt behind this example
Create a handoff list from these fictional notes: item, current status, next action and owner. Flag missing information. Do not invent delivery dates or mark anything complete without evidence.
Make it a habit. Use one handoff format each week. Track unresolved items until a person confirms they are complete.
01 / Start with real context
Make the pilot practical.
Team wants to try AI Start with internal project updates Four volunteers Concern: invented status / private client info Need to see whether it helps No pilot owner yet.
02 / Shape a useful draft
- Scope
- Internal project updates with four volunteers.
- Proposed boundary
- Use fictional or approved non-sensitive inputs.
- Proposed review
- A person checks every status before sharing.
- Proposed comparison
- Compare preparation time and corrections with the current process.
- Decision needed
- Assign a pilot owner and agree a review date.
03 / Keep a person in the loop
These are proposals, not agreed policy. Have the team approve the owner, boundaries and success criteria.
See the prompt behind this example
Draft a small AI pilot brief from these notes. Include scope, human review, information boundaries and a way to compare results. Separate proposed steps from decisions already made.
Make it a habit. Keep what improves the work. Adjust what does not. Expand only after the team has reviewed the results.
Illustrative examples with fictional inputs and prepared outputs. No live AI requests.
Find your starting point →A clear path.
A useful next step.
Live guidance, practice on your work, and feedback as you go. Choose your starting point; we'll discuss timing and format together.
Foundations
Start here if AI still feels like magic, or hype.
How modern AI works, what it can and cannot do, and prompting that gets reliable results.
You leave using AI with confidence, not guesswork.
Example take-awayA reusable prompt and a simple checklist for reviewing its output.
Ask about FoundationsPractitioner
Start here if you use AI sometimes but not systematically.
Daily workflows for writing, research, and analysis. Build the habits that compound.
You leave running AI in your daily work, not just reading about it.
Example take-awayA repeatable workflow for a task you handle every week.
Ask about PractitionerBuilder
Start here if you want AI working while you sleep.
Automation, custom assistants, and connecting AI to your own data and tools.
You leave with automations and assistants actually running.
Example take-awayA small assistant or automation, with a human approval step.
Ask about BuilderLeader
Start here if your team is looking to you for the map.
Agents, orchestration, governance, and leading AI adoption across an organization.
You leave with a team trained and adoption in motion.
Example take-awayAn adoption pilot plan with owners and a way to measure progress.
Ask about Leader Meet your guides The people behind
The people behind
Ready Waypoint.
Four owners. Experience across education, technology, operations, and workforce development. One shared focus: helping you put AI to work.
Robbe Addis
Chief Executive Officer
Jarrod Farmer
Chief Operating Officer
Scott Wojcichowski
Chief Technology Officer
Dominic Outlaw
Chief Marketing Officer
The Waypoint Method Live cohorts. Real work.
Live cohorts. Real work.
Your actual job.
For more than two years, Robbe Addis and Jarrod Farmer have taught AI to thousands of veterans and military family members across the country. Meet the people behind the teaching →
- Hands-on
- Every session uses your real tasks, not made-up scenarios.
- Role-specific
- Tracks tuned to the work you already do.
- Outcome-graded
- You leave each waypoint with something real that you can run with.
You don't need to have
it all figured out.
Bring one useful task.
A recurring report, a difficult handoff, or an idea you want to explore. We start with a purpose you recognize.
Practice with feedback.
Ask, compare, check and refine. Learn how to judge the output and decide what needs a person.
Leave with a next step.
Carry the prompt, checklist or workflow into your next attempt. Build a habit through practice.
Questions, answered straight.
One task you would like to improve and a non-sensitive example of the work. A draft, a recurring report or a handoff is enough to start a useful conversation.
Timing, format and pricing are discussed before you book. Tell us your starting point and who the training is for so we can recommend a suitable plan.
Yes. The journey starts at First Contact for a reason. Most of our learners write zero code. We teach thinking patterns and workflows, not programming.
Fair question, and we are upfront about it. What is not new is the method: skill sticks through doing, your real work with live guidance until it is habit, not videos you watch alone. Early cohorts get direct access to the people who built the program. Judge us on the first session, not a logo wall.
Tutorials show features. We train capability: live cohorts, your real work, feedback, and a path that builds stage on stage. The difference is whether anything changes on Monday.
Capability you can use the next day. Depending on your waypoint: confident everyday use, faster daily workflows, automations and assistants you built, or a team trained with an adoption plan in motion. Every session works on your real tasks, so you leave with real output, not notes.
Team cohorts are our core offering. We map each member to their waypoint, train in role-specific groups, and give leads the playbook for what comes after.
Core foundation models, AI agents, and agentic automations, plus the major assistants and the tooling that connects them. More importantly, we train the transferable skills underneath, so when the tools change, your capability does not reset.
We review the tools and examples we teach, while focusing on skills that travel: giving context, checking sources, improving drafts and deciding when human judgment is needed.