About this website
Non-Visual AI Productivity is a practical blog and learning space focused on getting real work done without relying on vision. It is designed for blind and low-vision learners, and also for anyone who values clear structure, keyboard-first workflows, and repeatable methods.
The core idea is simple: AI productivity is not about visually scanning a screen. It is about having a reliable process that makes AI output navigable, reviewable, and controllable in everyday tasks like email, documents, research, and planning.
This site teaches a repeatable workflow loop: Orient (get an overview), Plan (steps + checkpoints), Execute (small controlled chunks), Verify (evidence + spot-checks), and Recover (fix fast with clear change notes).
This website intentionally uses no images. The goal is to keep the experience fast, readable, and friendly for screen readers and magnification - where structure, headings, and clear navigation matter most.
Who is behind the project
Tuan Rushdi is currently the Global Disability Inclusion and AI Productivity Specialist at ImpactEra. He became blind shortly after completing his degree in Management Information Systems, and later earned a Master's in Disability Policy and Practice.
His work focuses on helping persons with disabilities build practical, workplace-ready skills and confidence - using accessible tools, structured learning, and real workflows that increase independence.
This project is part of that mission: turning AI from “interesting” into “useful” through non-visual-first methods that reduce confusion, reduce rework, and improve trust in outputs.
What the project stands for
- Productivity-first accessibility: accessibility is not an extra - it is how work becomes faster, cleaner, and more reliable.
- Built for independence: workflows designed to reduce reliance on visual checking and other people.
- Structure-first by default: headings, lists, checklists, and clear steps so screen reader navigation is efficient.
- Verification-by-design: practical review habits (chunking, spot-checks, assumptions, evidence) to reduce AI errors.
- Repeatable workflows: step-by-step methods for email, documents, research, planning, and content creation.
- Measurable outcomes: time-to-complete, fewer errors, fewer context switches, and greater independence.
- Inclusive by design: patterns that also help neurodivergent learners, busy professionals, and anyone who values clarity.
How to use this site
Start with the Lessons page for guided learning. Use the templates and checklists to practice the workflow loop (Orient, Plan, Execute, Verify, Recover) on your own real tasks.
If you would like to collaborate, request training, or share accessibility feedback, visit the Contact page.