TL;DR - This All-Hands builds on our research series to explore the fork in agentic marketing: extraction vs. empowerment. We’ll use this framework to prototype “Agency Layer” systems - agents that optimize for human flourishing, not just clicks. The article below is your foundation for the Gemini 3 Hackathon, where you’ll apply these ideas to build next-generation, empowerment-aligned applications.
From Intention to Empowerment
In Phenomenology of Search we studied the geometry of meaning. In Memory & Agency we gave models a sense of continuity. In Geometry of Intention we learned to recognize human goals. Now we face the critical question: what do we optimize those goals for?
Thesis: Agentic marketing is a fork in the road. The same machinery that can maximize compulsion can maximize empowerment. The objective function decides. We’re building the empowerment path.
Read the full deep-dive: The Empowerment Imperative: Rewriting Agentic Marketing from Extraction to Human Flourishing
Build-In-Public Sprint - “The Agency Layer”
Goal: Prototype an empowerment-aligned agent that demonstrates the alternative to extraction-based marketing. You’ll connect theory to practice by building systems that optimize for human flourishing.
Track A - Core Agency Layer (Infrastructure)
| Step | Deliverable | Hints |
|---|---|---|
| 1 | Goal Alignment Engine | Explicit goals > inferred interests |
| 2 | Consent Gates Module | Personalization off by default |
| 3 | Constraint Checker | Hard stops on dark patterns |
| 4 | Dual Metrics Dashboard | Performance + Agency metrics side-by-side |
| 5 | Demo Video (3 min) | Show the fork in action |
Track B - Empowerment Commerce Agent (Application)
| Step | Deliverable | Hints |
|---|---|---|
| 1 | Full agent app (Gemini 3 API) | Shopping assistant with agency layer |
| 2 | Alienation Detection | Flag extraction patterns in real-time |
| 3 | Trust Accumulation System | Optimize for long-term satisfaction |
| 4 | Capability Expansion Module | Help users become better decision-makers |
| 5 | Demo Video (3 min) | Show empowerment vs. extraction paths |
Recognition: Submit to the Gemini 3 Hackathon hosted by Google DeepMind. Internal showcase winners get featured in our Labs Showcase and the open-source repository.
Hackathon Details - Gemini 3 (Hosted by Google DeepMind)
- Deadline: 10 Feb 2026 @ 3:00am GMT+2
- Prizes: $100,000 in cash + AI Futures Fund interviews
- Register: Join the Gemini 3 Hackathon
- Participants: 10,500+ builders worldwide
Prize Breakdown
| Place | Cash Prize | Bonus |
|---|---|---|
| Grand Prize | $50,000 | Social promotion + AI Futures Fund interview |
| Second Place | $20,000 | Social promotion + AI Futures Fund interview |
| Third Place | $10,000 | Social promotion + AI Futures Fund interview |
| Honorable Mentions (10) | $2,000 each | Social promotion |
Judging Criteria
- Technical Execution (40%) - Quality development, Gemini 3 integration
- Innovation / Wow Factor (30%) - Novel ideas, unique solutions
- Potential Impact (20%) - Real-world usefulness, problem significance
- Presentation / Demo (10%) - Clear problem definition, effective demo
Why join? Gemini 3 represents the next leap in AI reasoning and multimodal capabilities. This is your chance to build agents that serve humans using the Empowerment Imperative framework - and prove that ethical AI is also better AI.
Acceptance Criteria
- Goal Alignment - Explicit user goals, not just behavioral inference
- Consent Architecture - Personalization requires opt-in
- Constraint System - Hard stops on exploitation patterns
- Dual Metrics - Track both performance AND agency
- Empowerment Demo - Show capability expansion, not just conversion
Bonus
- Alienation detection with real-time alerts
- Trust accumulation visualization over time
- Integration with commerce platforms (Shopify, Stripe, etc.)
- Comparison mode: extraction agent vs. empowerment agent on same task
The Code
We’re building this in public. The repository will contain:
- Goal Alignment Engine
- Alienation Detection System
- Agency Optimizer
- Constraint Checker with dark pattern detection
- Dual metrics dashboard
Repository: Coming soon at github.com/ai-knowledge-hub
Discussion Prompts
- Where is the line between “personalization” and “exploitation”?
- Can empowerment optimization be as profitable as extraction? More profitable?
- How do we measure “agency” in a way that’s rigorous and actionable?
- What happens when an empowerment agent competes against extraction agents?
- Could we build industry standards around the Agency Layer?
Add your thoughts in the comments or our internal #empowerment-imperative channel.
Reference Pack
- Part 1 - Phenomenology of Search
- Part 2 - Memory & Agency
- Part 3 - Geometry of Intention
- Part 4 - The Empowerment Imperative
- Agentic Commerce Research
- Gemini 3 Hackathon Rules
Call to Action Use the Empowerment Imperative framework to build agents that serve, not exploit. Join the Gemini 3 Hackathon, ship working code, and show the world that the fork in agentic marketing leads somewhere worth going. The code is the argument. Let’s write it together.
Discussion & Idea Voting
Up-vote next week’s build idea by reacting with 👍 to any comment.
Published on Saturday, January 3, 2026