AutoSitu
AI-native workspace for municipal development review
At AutoSitu (formerly MirageDoodle), we build coordinated AI agents that operate inside real-world development review workflows.
We handle the first 50% of the problem, performing code checks and ensuring technical correctness, but we also know correctness isn’t the finish line. AutoSitu tackles the latter 50% by analyzing patterns from past projects to anticipate issues, align expectations, and reduce costly re-submittals.
AutoSitu helps public- and private-sector teams navigate an increasingly complex, fragmented regulatory environment.
Active Founders
Founder
Lin combines a background in Urban Planning and Architecture from the University of Michigan, bringing policy insight and design expertise to AutoSitu. He leads product strategy focused on zoning and site plan compliance, with hands-on experience across projects in Champaign–Urbana and Detroit’s Joe Louis Greenway. An APA Planning and Design Competition Honorable Mention recipient, Lin works to make compliance faster, clearer, and more accountable.
Lin combines a background in Urban Planning and Architecture from the University of Michigan, bringing policy insight and design expertise to AutoSitu. He leads product strategy focused on zoning and site plan compliance, with hands-on experience across projects in Champaign–Urbana and Detroit’s Joe Louis Greenway. An APA Planning and Design Competition Honorable Mention recipient, Lin works to make compliance faster, clearer, and more accountable.
Founder
A Georgia Tech graduate, he has worked on autonomous cars, boats, and robotic systems, consistently pushing the boundaries of autonomy. George is known for rapidly engineering novel, highly cost-effective solutions—bridging advanced AI with real-world applications from self-driving vehicles to scalable automation.
A Georgia Tech graduate, he has worked on autonomous cars, boats, and robotic systems, consistently pushing the boundaries of autonomy. George is known for rapidly engineering novel, highly cost-effective solutions—bridging advanced AI with real-world applications from self-driving vehicles to scalable automation.
