Alex Collignon is a co-founder of AUGMTD. He writes about proactive AI, augmented work, coordination, and the practical design of human-controlled AI systems.
A practical definition of AI augmentation, grounded in research on task fit, human oversight, job design, and measurable outcomes.
A practical six-part test for designing AI review with the right evidence, authority, feedback, and escalation.
A five-stage map of the reconstructive work required to move from a scattered signal to a completed action.
A grounded spectrum of triggers, maintained state, prediction, preparation, and configured action.
A use-case comparison of AUGMTD, Granola, Fireflies, Otter, Fathom, Avoma, Fellow, and Zapier, focused on what happens after the meeting.
