AI Flash Lab - Project Briefing
Program Type: Signature Workshop Format Website: designkit.stanford.edu Owner: Reuben Thiessen Status: Active - Scaling
1. Project Overview
What It Is
AI Flash Lab is a hands-on, time-boxed workshop format designed to help groups rapidly explore and prototype AI-powered solutions to challenges they care about. Originally developed as the “AI-Accelerated Community Design Session” (AACDS), it was rebranded to “AI Flash Lab” after the AI+Education Summit in November 2025.
The workshop follows a structured three-phase format:
- Design - Teams identify a problem space and articulate the challenge
- Build - Participants rapidly prototype solutions using AI tools (ChatGPT, image generators, no-code platforms)
- Advocate - Teams present their work and make the case for their solution
The Problem It Solves
Many educators and organizations want to experiment with AI in learning contexts but face barriers:
- Analysis paralysis - Overwhelmed by the number of AI tools available
- Fear of failure - Uncertain how to start experimenting safely
- Isolation - Working alone without peer support or collaborative energy
- Time constraints - Difficulty finding extended time for exploration
AI Flash Lab provides a structured, low-stakes environment where participants can experience AI tools hands-on while working on authentic problems that matter to them.
Who It Serves
Primary audiences include:
- Educators seeking to integrate AI into teaching practice
- Researchers designing AI-enhanced research projects
- Education organizations (school districts, nonprofits, foundations) exploring AI capacity-building
- International education partners (ministries of education, UNESCO affiliates, research institutes)
Key insight from Kelly (Churchill/Australia):
“AI Flash Lab could help figure out which agents you need”
This positions the workshop not just as a prototyping experience, but as an “agent discovery” tool - helping organizations identify which AI tools and capabilities they actually need.
2. Key People
Internal Team
| Person | Role | Involvement |
|---|---|---|
| Reuben Thiessen | Emerging Technology Lead, SAL | Creator, facilitator, toolkit developer |
| Josh Weiss | Director, Accelerator Studio | Strategic partner, co-designer, partnership lead |
| Joe Sherman | Digital Media Lead, Accelerator Studio | Collaborator on materials and documentation |
External Partners & Adopters
| Person | Organization | Role in Flash Lab |
|---|---|---|
| Anna-Lena Neurohr | Learning Planet Institute (Paris) | International pilot facilitator - adapted toolkit for research context |
| Jessica Garner | ISTE | Train-the-trainer partnership lead |
| Vanessa Monterosa | NewSchools Venture Fund | Exploring Flash Lab for portfolio organizations |
| Kelly | Churchill/Australia | Exploring adoption; surfaced “agent discovery” use case |
| Karen Murcia | Australia | Alpha testing cohort member |
| Nathan Nagaiah | United Kingdom | Interested in hosting workshop |
| Fatma, Farah, Mahfoodha | Oman Ministry of Education | Hackathon delivery (Feb 2026) |
| Gregory Wilson II | The Tinkery (Stanford) | Flash Lab at Tinkery confirmed March 30; Build-a-Bot facilitator training in progress |
| Christine Bywater | CSET/PLEX (Stanford) | Flash Lab fits Session 3 of her 5-session series; Lake Forest visit March 30 – April 1 |
| Matthew Montgomery | Lake Forest School District (Chicago) | Superintendent — bringing teachers/admins to Stanford for PD including Flash Lab |
Connection Origins
- Anna-Lena: UNESCO Mobile Learning Week follow-up (Josh connection)
- Vanessa: Accelerate EdTech Impact Summit community design session
- Kelly: Research council connection (Oct 2025)
- Gregory: Stanford Tinkery — natural fit for hands-on AI workshop space
- Christine: CSET/PLEX Associate Director — cross-team collaboration on PD series
- Matthew Montgomery: Via Christine Bywater’s CSET/PLEX network
3. Reuben’s Role & Contributions
Primary Responsibilities
- Workshop Design & Facilitation - Created and refined the workshop structure, timing, and facilitation guide
- Toolkit Development - Building self-service materials to enable others to run Flash Lab independently
- Partnership Cultivation - Lead contact for Flash Lab-related partnerships (ISTE train-the-trainer, New Schools, international pilots)
- Iteration & Improvement - Incorporating feedback from facilitators to improve the toolkit
Specific Contributions
Design & Development:
- Developed the three-phase structure (Design, Build, Advocate)
- Created facilitator scripts with explicit timing
- Designed “AI Boosters” resources (though research audiences found these too business-focused)
- Built materials for EdTech Summit hands-on experience
- Designed evaluation surveys and feedback mechanisms
Facilitation:
- Delivered workshop at AI+Education Summit (Nov 2025); rebranded shortly after
- Co-planning Oman Hackathon delivery (Feb 2026)
- Support and guidance for international facilitators
Strategic Work:
- Withdrew from ISTE Live 60-minute format after determining Flash Lab doesn’t work condensed
- Pivoted ISTE partnership toward deeper train-the-trainer integration
- Framed “Beyond Stanford” scaling narrative for Josh’s All-Hands presentation
Documentation:
- Website at designkit.stanford.edu
- Toolkit materials in development (see GPS goals for full structure)
- Alpha testing cohort tracking
4. Timeline
2025
| Date | Milestone |
|---|---|
| Oct 2025 | Initial outreach from Anna-Lena (Learning Planet Institute) about piloting toolkit |
| Oct 13, 2025 | Meeting with Kelly (Australia) - research council connection |
| Oct 24, 2025 | Call with Anna-Lena to discuss adapting toolkit for Paris context |
| Oct 31, 2025 | Target date for Toolkit v1 release (partially met - materials exist, not fully packaged) |
| Nov 26, 2025 | Anna-Lena delivers first Flash Lab workshop in Paris (successful) |
| Dec 1, 2025 | Nathan Nagaiah (UK) expresses interest in hosting workshop |
| Nov 2025 | AI+Education Summit delivery |
| Dec 2025 | Rebranding from “Community Design Session” to “AI Flash Lab” (post-Summit) |
2026
| Date | Milestone |
|---|---|
| Jan 7-20, 2026 | Multiple ISTE partnership meetings with Jessica Garner |
| Jan 13, 2026 | Meeting with Kelly (Australia) - Flash Lab exploration |
| Jan 21, 2026 | Anna-Lena delivers second Flash Lab workshop in Paris |
| Jan 28, 2026 | Anna-Lena debrief call - gathered key learnings for toolkit improvement |
| Jan 29, 2026 | Vanessa Monterosa (NewSchools Venture Fund) exploratory meeting |
| Feb 1-6, 2026 | Oman Hackathon - “Reimagining Learning Differences with AI” using Flash Lab format |
| Feb 2026 | New ISTE cohort starting (4-12 STEAM teachers) |
| Feb 25, 2026 | ISTE partnership scoping meeting — agreed on authorized provider model, rev-share, Activation Stage, Google funding angle |
| Feb 26, 2026 | Tinkery meeting with Gregory Wilson — Flash Lab at Tinkery confirmed for March 30. York Scholars capstone explored. |
| Feb 26, 2026 | Christine Bywater/PLEX meeting — Flash Lab fits Session 3 of her 5-session series. Lake Forest visit planned March 30 – April 1 (Tue 3pm or Wed morning slot for Reuben). |
| Mar 3, 2026 | Build-a-Bot facilitator training walkthrough with Gregory (scheduled) |
| Mar 30, 2026 | Flash Lab at The Tinkery (on-campus, Stanford) |
| Mar 31 – Apr 1, 2026 | Flash Lab for Lake Forest group (Stanford visit — Tue 3pm or Wed morning) |
| Fall 2026 | Potential ISTE 90-educator convening (1.5 day in-person kickoff) |
5. Current Status
Overall Status: Active - Scaling Phase
The program has moved from pilot phase to active scaling, with multiple international partnerships and a clear “train-the-trainer” trajectory.
Active Partnerships
| Partner | Status | Next Steps |
|---|---|---|
| ISTE | Partnership scoping complete (Feb 25) | Authorized provider model agreed. Rev-share on $7,500/day CLS. Isabelle: OTL + dean buy-in. Chris Agnew follow-up re: research. Due diligence on ISTE PL landscape in progress. |
| The Tinkery (Gregory Wilson) | Active — March 30 confirmed | On-campus Flash Lab workshop. Also exploring York Scholars capstone use case. |
| CSET/PLEX (Christine Bywater) | Active — March visit planned | Flash Lab as Session 3 in her 5-session series. Lake Forest superintendent visit March 30 – April 1. Also exploring Build-a-Bot as online self-paced component. Working with “Ground Floor” org. |
| Oman Hackathon | Delivered | Feb 1-6, 2026 — complete |
| Learning Planet Institute (Paris) | Piloting | Follow up on artifacts; potential Airtable story |
| NewSchools Venture Fund | Discovery | Meeting Jan 29 — follow up with Vanessa (due Feb, now overdue) |
| Churchill/Australia | Exploring | Follow up after Kelly’s national conference |
Toolkit Development Status
Planned Structure:
Facilitator Toolkit
├── Pre-Event
│ ├── Recruitment templates
│ ├── Tech requirements checklist
│ ├── Judge briefing materials
│ └── Participant prep emails
├── During Event
│ ├── Facilitator script with timing
│ ├── Hat transition guides
│ ├── Troubleshooting playbook
│ └── Judging rubrics
├── Resources
│ ├── AI tool tutorials (ChatGPT, image gen, no-code)
│ ├── Printable templates
│ ├── Slide deck (customizable)
│ └── Essential questions posters
└── Post-Event
├── Feedback surveys
└── Impact assessment tools
Current Reality:
- Materials exist but not fully packaged as cohesive, downloadable toolkit
- Website live at designkit.stanford.edu
- Facilitator scripts and timing guides developed
- Evaluation surveys in use
Key Learnings from International Pilots
From Anna-Lena’s Paris workshops (Jan 28, 2026 debrief):
What Worked:
- Three-phase structure (Design, Build, Advocate)
- Explicit timing and script
- Paper and pens preferred over laptops for ideation
- Researchers appreciated the design-oriented approach
What Needed Adaptation:
- Renamed “Build” to “Research Design” phase for research audiences
- Researchers balked at “user” terminology - needed academic framing
- Reduced slide count (first version overwhelmed participants)
- AI Boosters were too business-focused - no one used them
- Research canvas follows: Problem → Research Question → Research Design → Success Measures
Projects Emerged: Youth governance, peace education, AI as mediator’s coach, human rights by design, civic policy co-pilot, civic data commons
Immediate Next Steps
- ISTE due diligence — How many trainings? Revenue potential? PL offerings landscape. Clarify CLS faculty vs 90 contractors.
- Tinkery Flash Lab (March 30) — Confirm with Gregory, plan logistics for on-campus delivery
- Lake Forest Flash Lab (March 31 or April 1) — Waiting on Christine’s schedule. Plan content for Tue 3pm or Wed morning slot.
- Build-a-Bot facilitator training with Gregory — Scheduled for week of March 3
- Activation Stage concept — Design 20-30 min Flash Lab intro + CTA for full experience (from ISTE meeting)
- NewSchools follow-up — Overdue. Reconnect with Vanessa Monterosa.
- Toolkit Packaging — Turn existing materials into downloadable v1
- Book Stanford trip — March 29 – April 1 (ASAP)
6. Artifacts
Web Properties
| Asset | URL | Description |
|---|---|---|
| Main Toolkit Site | designkit.stanford.edu | Self-service toolkit and information |
| Alpha Testing Cohort | Google Sheet | Tracking cohort for early adopters |
Related SAL Programs
| Program | URL | Connection to Flash Lab |
|---|---|---|
| Build-a-Bot | bot101.app | Complementary offering - chatbot building workshop |
| ABCs of How We Learn | bot101.app/abcs | Educational chatbots - can emerge from Flash Lab prototypes |
Documentation Locations
| Document | Location |
|---|---|
| Project Tracker | projects/partnerships-projects.md - “AI Flash Lab Partnerships” section |
| GPS Goals | reference/gps-goals-full.md - Goal 3: Build Scalable Educator Capacity Programs |
| Q4 2025 Reflection | goals/q4-2025-reflection.md |
| Q1 2026 Goals | goals/q1-2026-goals.md |
| End-of-Month Prep | prep/end-of-month-prep-jan-2026.md |
| Meeting Notes | meetings/running-notes.md (search “Flash Lab” or “Community Design”) |
People Profiles (for context)
people/anna-lena-neurohr.md- Learning Planet Institute contactpeople/jessica-garner.md- ISTE contactpeople/joseph-south.md- ISTE Chief Innovation Officerpeople/vanessa-monterosa.md- NewSchools Venture Fund contact
Visual Assets
- Anna-Lena debrief screenshots:
assets/meetings/2026-01-28-anna-lena-flashlab/- Opening slide
- Co-design approach
- Three-phase structure
- Research canvas
7. Tags
Based on the 20-tag system from the Accelerator Studio handbook, AI Flash Lab interactions typically generate:
Primary Tags
| Tag | Why It Applies |
|---|---|
| [MULTIPLIER] | Core mission is training others to facilitate without AS involvement |
| [RIPPLE] | Organic international adoption (Paris, UK, Australia, Oman) |
| [BRIDGE-BUILD] | Connecting educators to AI tools and to each other |
| [LEVEL-UP] | Clear capability transformation for participants |
Secondary Tags
| Tag | Context |
|---|---|
| [THOUGHT-PARTNER] | ISTE partnership conversations, scoping sessions |
| [CO-CREATE] | Oman hackathon delivery with Ministry of Education |
| [STUDIO-BUILD] | Toolkit development, website creation |
| [SPARK] | Kelly’s “agent discovery” insight |
| [SCALE-MOMENT] | Watch for: if ISTE faculty start running own sessions, if NewSchools adopts across portfolio |
Tag Trajectory
Typical progression for Flash Lab partnerships:
- [CHECK-IN] / [THOUGHT-PARTNER] - Initial exploration
- [BRIDGE-BUILD] / [LEVEL-UP] - Training and first delivery
- [MULTIPLIER] - Partner runs independently
- [RIPPLE] - Organic spread beyond original scope
- [SCALE-MOMENT] - Adoption at organizational/system level
8. Impact & Outcomes
Quantitative Metrics
| Metric | Value | Notes |
|---|---|---|
| International Pilots | 2 completed (Paris) | Nov 2025, Jan 2026 |
| Countries with Active Interest | 5+ | France, UK, Australia, Oman, USA |
| ISTE Faculty Interested | 3 | Winston, Beth, Jeremiah |
| Upcoming ISTE Cohort | 4-12 teachers | Feb 2026 start |
| Oman Hackathon Participants | TBD | Feb 1-6, 2026 |
Qualitative Impact
From Anna-Lena (Paris):
- 32 pre-questionnaire responses collected
- Six concrete research project ideas emerged from single workshop
- Participants appreciated structured yet creative format
From Kelly (Australia):
“AI Flash Lab could help figure out which agents you need”
Strategic Recognition: Josh’s All-Hands framing of Flash Lab as “Beyond Stanford” work:
“Modeling how others can activate in-house expertise for themselves” “Workshops to jump-start collective experimentation and sharing in communities”
Evidence of Scaling
- Train-the-trainer emerging as model - ISTE partnership, Anna-Lena’s independent delivery, Crystal Springs PD arc
- International adoption - Without direct AS involvement, partners adapting and delivering
- Portfolio-level interest - NewSchools Venture Fund exploring adoption across their organizations
- Ministry-level partnership - Oman Ministry of Education using format for national hackathon
Watch For
- [VALUE-VISIBLE] moments - unprompted recognition of Flash Lab’s contribution
- [BREAKTHROUGH] stories - partners overcoming major blockers through Flash Lab experience
- [SYSTEM-SHIFT] - if Flash Lab influences broader institutional AI adoption practices
- User study data from international pilots (evaluation surveys)
Strategic Positioning
Within SAL’s Mission
AI Flash Lab embodies the Accelerator Studio’s core value proposition:
- Capacity building for localized experimentation - Not doing the work for partners, but enabling them to do it themselves
- Conversion engine between expertise capital and human capital - Translating AI knowledge into practitioner skills
- Public good through “hand-off-ability” - Open-sourcing the toolkit (Stanford and Alana credited)
Scaling Priority
From Jan 27, 2026 End-of-Month meeting:
“Scaling is THE focus” - Isabelle showing scaling theme in every presentation
Flash Lab is a prime example of the scaling model:
- Self-service toolkit - In development
- Trained facilitators - International pilots proving the model
- Online/async - Not yet started, but natural next step
Competitive Advantage
Flash Lab isn’t just another AI workshop - it’s positioned as:
- Research-backed - Developed at Stanford, iterating based on evidence
- Adaptable - Proven to work in education, research, and international contexts
- Scalable - Designed from the start to be facilitated by others
- Values-aligned - Serious Play, Perpetual Trust Fall, Best Idea Wins
Differentiation: Flash Lab vs. Vibecoding Workshops
March 2026 analysis - prompted by Alex Kotran (aiEDU) running vibecoding workshops at SXSW EDU, Urban Assembly, GSV. Full analysis at prep/2026-03-19-flash-lab-special-sauce.md.
The overlap is real: Both put AI tools in people’s hands, both aim for the “I made a thing!” payoff, both are constructionist and require no technical prerequisites. The Build phase of Flash Lab would feel familiar to a vibecoding participant.
Where vibecoding wins: Simpler pitch, lower facilitator bar, viral cultural momentum, legible artifact (working app URL), faster to stand up.
The six Flash Lab differentiators:
- Problem-first, not tool-first - Design phase happens before anyone touches a tool. Produces design judgment, not just tool proficiency.
- When-to-use-AI question - Explicitly asks: does AI add value here, or does human collaboration? Builds the meta-skill educators need for integration decisions.
- “Achieve Failure” - Discovering AI’s limits is a valid outcome, not a bad experience. Connects to the Broken Proxy problem: if we only celebrate AI successes, we reinforce the gap between product quality and actual understanding.
- Advocate phase - Third act forces metacognition: make the case for your solution. Develops leadership capacity to champion (or critique) AI integration with evidence.
- Context-agnostic architecture - Works for K-12, research (Anna-Lena renamed Build to “Research Design”), international conferences (Oman), district PD (Christine/Lake Forest). Not locked to software output.
- Front door, not standalone - Three Personas framework routes participants to next steps (CSET/PLEX, Tinkery, ISTE PD). Every session is diagnostic.
The one-liner: Vibecoding workshops teach people to build with AI. Flash Lab teaches people to think, build, and advocate - including knowing when AI is the wrong tool.
30-Second Pitch (Josh prompt, Lake Forest debrief — Apr 1, 2026)
Every educator and organization is asking the same question: “when should we use AI, and how much?” This is where AI Flash Lab comes in. This question doesn’t have a one-time answer: it needs to be asked again and again, because the answer will change as the contexts evolve and the tools get more capable. We are ready to tap into the networks of people already grappling with this question, and many of them, we believe, are willing to pay for guided support for us to train their people. As Flash Lab grows and spreads, we have a chance to build something nobody else has: a repository of human-centered AI use cases and well-designed ideas that address real needs across real contexts.
Strategic framing: Don’t position against vibecoding. Vibecoding is phase 2 of Flash Lab. Flash Lab is the full cycle: think, build, advocate. Vibecoding could fit under the Build hat, but the Build hat is flexible enough that it doesn’t have to be vibecoding.
Where Flash Lab wins the market: Institutional buyers (ISTE, districts, ministries) who care about sustained development, not a single event. The evidence gap is the race to win - Flash Lab has ISTE CoP, evaluation instruments, and the SMART goal of two publishable case studies by end of Q2 2026.
Open Questions & Risks
Questions to Resolve
- Toolkit packaging timeline - When will v1 be a cohesive, downloadable product?
- Capacity for new partners - Team acknowledged they’re “not staffed for people who already want our help”
- Research audience adaptations - Should there be an explicit “Flash Lab for Researchers” variant?
- AI Boosters redesign - Current version too business-focused; needs rethinking for educator/researcher audiences
- Quality control at scale — What happens when we’re not in the room? “Certified trainer” branding framework needed (from ISTE debrief)
- Flash Lab duration for Tinkery context — Gregory’s typical workshops are 1 hour; Flash Lab is 3 hours. How to adapt?
- Christine’s insight on AI standards — Districts find existing AI resources too “tool-centric.” How does Flash Lab address the broader environment/politics dimension?
Risks to Monitor
| Risk | Mitigation |
|---|---|
| Capacity constraints | Prioritize train-the-trainer over direct delivery |
| Quality control at scale | Build evaluation into toolkit; require feedback from trained facilitators |
| Brand dilution | Clear guidelines on attribution (Stanford and Alana credit) |
| Format drift | Core three-phase structure should remain consistent across adaptations |
Briefing prepared: January 29, 2026 Last updated: March 13, 2026
projects/briefings/ai-flash-lab.md