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MagicStride

IDEAS AND UPDATES

Practical thinking on AI workflows at work.

Notes on putting AI to work inside organizations — where people and agents share responsibility, what teams automate first, and how implementation actually goes.

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ANNOUNCEMENTSeptember 30, 2026 · 3 min read

Introducing MagicStride: AI for the way your organization works.

MagicStride helps organizations put AI to work across everyday processes — starting from proven examples, adapting them, or creating new ones — with people and agents sharing responsibility by design.

Read the announcement

IN THE PAGES

What we write about.

Short, direct pieces on the platform and the practice of bringing AI into organizational work.

  • Workflow design — how a process becomes work people and agents share.
  • People and agents — where judgment belongs and where defined work can proceed.
  • Use cases by domain — examples across industries and functions.
  • Implementation lessons — what delivering this with teams actually involves.
  • Platform updates — what changes and why.

Start with the blueprint.

The fastest way to see how MagicStride thinks about work is the workflow blueprint — an example workflow, step by step, under both operating approaches.

Open the blueprint

KEEP EXPLORING

Platform

Reporting, reconciliation, engineering review, support, research, onboarding — MagicStride covers the everyday work of teams across domains. Start from a proven example, shape it around your process, or create something new — and decide how people and agents share the work, which models it uses, and how it is delivered.

Operating models

Human-in-the-loop and no-human-in-the-loop describe two operating approaches. In practice, a workflow can combine human decisions with agent-led steps, according to the work and the controls the product supports.

WORK WITH MAGICSTRIDE

Bring the work. We'll shape how
people and agents get it done.

Tell us about the process your team wants to improve — a report, a review, a queue, an onboarding. We can configure and deploy it directly, or co-deliver it with your team.

Discuss your workBrowse proven starting points
PROVEN STARTING POINTS · DIRECT IMPLEMENTATION · CO-DELIVERY