The Glasshouse
Operational Transparency
The AI ecosystem is widely defined as a "Black Box" which causes a trust gap amongst users and builders. This creates friction when deploying AI in people-facing contexts.
We choose to build our system as a "Glass Box". We show our work by publishing our roadmap, our decision-making criteria, and our learnings. Transparency is one of our core principles, so we practice it ourselves
How We Use Data
Our Living Roadmap
Our priorities will almost certainly change as we learn. We update this view monthly to reflect our current reality. Follow our changelog to track our decisions
Now
Logic Validation & Core Research
The Product (v1.0)
Calculator Logic/Core budgeting engine
Custom Reports + CSV/PDF Export
Progress Tracking
Industry-specific allocation logic
The Insights
Baseline "Cost of AI" dataset (not yet community backed)
Industry-specific datasets
Builder survey for baseline benchmarks
Research sponsors and vendor partners
Next
Automation & Benchmarkting
The Product (v2.x)
"Proof Storage" and Automated Diligence/Reporting Documents
Community benchmarks to compare to others in the same industry & stage
Smarter recommendation optimization based on v1 usage
Portfolio-views and aggregation for funders
The Insights
Quarterly "AI Trends" reporting on effective AI deployment trends
Industry-vertical specific reports
Future
Integration & Predictive Impact
The Product (v3+)
Predictive ROI of budget allocation decisions
SROI, environmental cost, and risk estimators
API Integration to directly connect with Product Management Tools
The Insights
Automated, customizable industry-level research reports
"Real Cost" data to provide regulators to inform public-sector AI governance
Our Business Model
How we keep the lights on without selling user data.
We are a nonprofit initiative. We believe that builders who seek to positively impact the world should not be blocked by paywalls. To keep this platform free for builders and free from advertisers, we rely on 3 transparent revenue streams in addition to grant funding.
Capital Allocators
Capital Allocators can pay us for aggregated portfolio-level insights. As part of an agreement we will gather consent from relevant organizations. We will not externally share insights or use data from non-portfolio teams.
Consulting
Innovation programs pay to have us teach our curriculum and "Cost of AI" frameworks for their cohorts. Organizations can pay to have us consult on product management execution of their strategic plan.
Vendor Partnerships
We recommend tools purely based off of utility and quality. If we have identified a great tool, we're open to negotiating bulk discounts that have no bearing on their recommendation status
