For advanced partners exploring adaptive AI systems, evaluation, and continuous improvement.
What you're seeing: This system begins with a basic response, generates improved variations, scores each one, and automatically selects the best result. This process is the foundation of modern AI systems, which are increasingly integrated into educational technology. You can also create your own experimental AI that utilizes this method.
ArchiveLens AI is an AI-powered primary source interpretation tool designed to help students, educators, families, and researchers understand U.S. military history records with clarity, context, and confidence.
Built by the Learning AI Institute, ArchiveLens AI goes beyond simple summaries. It helps users interpret historical documents, identify what is known and unknown, and apply responsible AI practices through the LAIR framework: Literacy, Application, Interpretation, and Responsibility.
✔ Makes Difficult Records Understandable
Transforms complex military documents—such as service records, reports, letters, and pension files—into clear, plain-English explanations.
Connects individual records to broader events, timelines, and military history so users understand not just what happened, but why it matters.
Teaches users how to critically evaluate AI-generated insights, distinguish fact from interpretation, and responsibly verify information.
Generates respectful, human-centered narratives that help families, students, and educators connect with the people behind the records.
Suggests next steps, additional records, and archival sources to continue deeper historical or genealogical investigation.
Use ArchiveLens AI for primary source analysis, DBQs, differentiated reading levels, and AI literacy instruction.
Understand ancestor service records, create printable service summaries, and preserve military history with care and respect.
Decode complex documents, identify missing information, and uncover new research pathways.
Demonstrate responsible AI use in real-world learning environments while supporting historical thinking and student engagement.
ArchiveLens AI is built around the Learning AI Institute’s LAIR framework:
This ensures that users are not just consuming AI output—they are learning how to use AI thoughtfully and responsibly.
Unlike basic AI tools, ArchiveLens AI is designed for education, interpretation, and responsible use. It does not simply summarize documents—it helps users:
ArchiveLens AI serves as a powerful entry point for AI literacy in education.
Through the Learning AI Institute, schools and organizations can implement:
FuelWise LAIR explores how the LAIR framework — Literacy, Application, Interpretation, and Responsibility — can help people make sense of AI-assisted guidance in everyday life.
The tool supports meal logging, liquid intake, diet preferences, weight tracking, activity tracking, reminders, and reflective coaching while emphasizing responsible interpretation rather than blind reliance on AI.
FuelWise LAIR is currently in web beta. It is designed for education and wellness support only and is not medical advice.
• Meal, drink, weight, and activity tracking
• Diet-style personalization and LAIR-based coaching
• Ask FuelWise for guided reflection and explanations
• Responsible AI guidance with clear limitations
Seams & Downs Scorebook Analytics helps coaches turn paper scorebooks into verified, coach-ready data. Upload baseball or softball scorebook pages, confirm the plays, and generate batting analytics that can be shared with coaches, parents, and athletes.
Built through the LAIR Framework — Literacy, Application, Interpretation, and Responsibility — this tool helps teams understand data, apply it to real games, interpret trends over time, and use youth athlete information responsibly.
Most coaches already have valuable information sitting inside their scorebooks. Seams & Downs helps unlock that information by converting game records into clean, organized analytics.
What coaches can do:
Travel teams may play four to six games in a weekend and dozens of games across a season. Seams & Downs is designed to support that reality.
One game gives you a box score.
Three games start showing trends.
A travel season tells the development story.
Coaches can turn verified scorebook data into parent-friendly updates, player callouts, and screen-ready reports.
Use Seams & Downs to highlight:
Stats should support learning, not label young athletes. That is why Seams & Downs connects directly to LAIR’s focus on responsible AI use.
The LAIR Framework helps guide how scorebook data should be used.
Literacy
Understand what the data means and what AI can or cannot read confidently.
Application
Apply AI-assisted scorebook analytics to real coaching workflows.
Interpretation
Look for trends across games instead of overreacting to one at-bat, one error, or one box score.
Responsibility
Use youth athlete data fairly, privately, and developmentally.
The Pit Pal is a real-time BBQ assistant designed to guide users through every stage of the cook.
Most BBQ apps give recipes.
The Pit Pal tells you what to do while you’re cooking.
From first smoke to final slice, users get:
The Pit Pal is built using the LAIR framework from Learning AI Institute:
This transforms BBQ from guesswork into a guided, repeatable process.
🧭 Planning
BBQ is not just cooking—it’s timing, temperature, and decision-making under uncertainty.
The Pit Pal helps users:
This is not just a BBQ app.
It’s a model for how AI can guide real-world skills using structured thinking.
The Pit Pal is an early example of:
Applied AI coaching using the LAIR framework
We're opening a limited pilot group for early access to explore innovative AI systems within the realm of educational technology, focusing on experimental AI.