brianletort.ai

AI Transformation Library

See how AI changes the work.

102 real-world cases. What changed, what improved, and where people still decide.

CardsTable

6 cases

1–6

CaseAI valueOpen
An editorial scene for Rising Academies schools contrasts attends normal math classes and studies with available static materials or limited human support. with uses a school-provided phone for two weekly whatsapp tutoring sessions during study hall. in the rori ai math tutoring through whatsapp workflow.
Rising Academies schools		Treatment growth was significantly higher with effect size 0.36 (p<0.001), described as roughly an extra year of learning.
An editorial scene for Boston Public Schools contrasts build and maintain routes manually for each school over multiple weeks. with generates district-wide student stops, route sequences, and multi-school bus reuse in about 30 minutes. in the bird system-level school-bus route optimization workflow.
Boston Public Schools		50 buses removed in the first implementation year and about $5 million saved, with average ride time remaining about 23 minutes
An editorial scene for Sixty-eight English secondary schools in the EEF Teacher Choices trial contrasts creates questions, quizzes, activities, and differentiated resources without generative ai. with uses an implementation guide and prompts the model for questions, quizzes, activity ideas, or tailored materials. in the teacher-controlled chatgpt lesson planning with implementation guide workflow.
Sixty-eight English secondary schools in the EEF Teacher Choices trial		56.2 minutes in the ChatGPT group, 25.3 minutes or 31% lower.
An editorial scene for Georgia State University contrasts track multiple enrollment requirements and seek help when a task or deadline is unclear. with use university records to send task-specific deadline reminders and offer help. in the pounce summer-melt support workflow.
Georgia State University		Students assigned to Pounce were 3.3 percentage points more likely to enroll on time, equivalent to a 21% reduction in summer melt in the peer-reviewed study.
An editorial scene for Edo State schools / World Bank study contrasts continues business-as-usual classes and study without the six-week after-school intervention. with completes curriculum-aligned english, ai, and digital-skills activities in twelve 90-minute lab sessions. in the teacher-facilitated gpt-4 tutoring workflow.
Edo State schools / World Bank study		0.310 SD weighted total score; 0.238 SD English skills (abstract reports 0.23; narrative rounds to 0.24)
An editorial scene for Large US health system / Optum algorithm contrasts has a limited number of intensive nursing and coordination slots to allocate. with ranks patients by predicted future cost as a proxy for health need. in the commercial cost-proxy risk ranking workflow.
Large US health system / Optum algorithm		46.5% if ranked by actual health need
Curated collections →Evidence methodologyPublication history
AI Transformation Library | Brian Letort