Human-centered, mission-driven work in an AI age
By the end of this program, you'll have used AI on real tasks from your own work — not a tutorial, not a demo you watched.
You'll know where it genuinely helps, where it falls short, and where Civilla has decided to keep things human-led. You'll have a shared language with your teammates, a set of evaluation habits you actually trust, and at least one task in your regular work that runs faster and better than it did before.
You'll also have helped build something that belongs to the whole team: a Civilla AI Playbook — a living set of task recipes, standards, and guardrails that reflects who Civilla is and how Civilla works.
No prior AI experience needed. Skeptics welcome.
What you’ll learn
Use AI confidently in your real work — knowing where it helps, where it doesn't, and where Civilla draws the line.
Live demos + hands-on practice with your own work. Leave with reusable prompt patterns for both speed and depth.
Learn practical evaluation checks to assess AI outputs before using or sharing them. Know when to trust — and when not to.
Contribute to a living team playbook of task recipes, standards, and guardrails that define how Civilla uses AI and where it doesn't.
Learn directly from Ann
Ann Conway
Founder & CEO of Amplify, helping leading brands use AI to transform their work
Who this course is for
You do design or research and are curious about AI — but don't want to lose the quality or integrity that makes your work powerful.
You work in strategy, ops, or PM and want to reclaim time lost to drafting, documentation, and coordination.
You're skeptical of AI and not convinced it applies to your work — but you're willing to find out on your own terms.
What's included
Live sessions
Learn directly from Ann Conway in a real-time, interactive format.
Civilla-specific demos
Watch Ann work through real Civilla tasks live, showing what AI actually does, how you will use it in day to day tasks, and what outputs look like.
Practice week with clinic support
A guided week to experiment with AI on your own work, with two optional small-group clinic sessions for hands-on troubleshooting.
Civilla AI Playbook
A co-created team resource: task recipes, evaluation methods, standards, and guardrails.
Task Recipe template
A reusable slide template to document your own AI methods so others can learn from and build on your work.
Evaluation toolkit
A practical set of checks to assess AI outputs before you use or share them.
Lifetime access
Go back to course content and recordings whenever you need to.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
6 live sessions • 5 lessons
Week 1
Prepare for the first workshop
Week 2
Mar
17
Workshop 1: Applying Automation and Augmentation to Your Workflows + Tasks
Automation and Augmentation: two modes of working with AI
Schedule
Live sessions
1 hr / week
Tue, Mar 17
7:00 PM—9:00 PM (UTC)
Tue, Mar 24
5:00 PM—5:45 PM (UTC)
Mon, Apr 6
5:00 PM—5:45 PM (UTC)
Projects
3 hrs / week
You will choose two tasks from your real work — one to automate with AI, one to augment your thinking with AI. Run each with different AI models, then document what worked, what didn't, and what surprised you. Your findings become a task recipe you'll add to the Civilla AI Playbook.
Async content
2 hrs / week
Short async exercises to build the habits that make AI actually useful: writing prompts that get better results, holding a productive dialogue with AI to sharpen your own thinking, and evaluating outputs so you know what's good enough to use.
Testimonials
This course doesn’t just teach you how to conduct better research with AI — it teaches you how to structure and execute any kind of work more effectively with AI. It helps you build a clear strategy for how you’ll use AI, offers a rich set of practical tactics, tips, and techniques, and creates ample opportunities for practice, feedback, and shared learning with an engaged cohort of peers
Chris M.
Author titleThis course was a great chance to get together with other research design professionals (UX research, designers, product managers) and actually practice frameworks in a structured way. The practical approach to the core concepts was a great way to stretch my thinking, and further develop my AI-integrated research skills. We all seem to be trying to figure out AI in a silo, and this course really broke that down. The power of honest discussions really helped me to advance my confidence in owning my AI process within my craft.
Lauren O.
Author titleThis class gave me the confidence to use AI intelligently. I now am simultaneously more skeptical and less skeptical of using AI, but know how to check it's facts and use it well. I have already implemented so many learnings from this class into my workday.
Jacqueline B.
UX Researcher
Frequently asked questions
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