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AI at Work

Useful AI starts with work that is getting stuck.

Plain-language stories about the small breakdowns that waste time, hide important work, or make a process hard to trust. Each story shows what changed, where AI can help, and where people still need to make the call. Where useful, you can also copy a practical prompt into the AI assistant you already use.

Start with a problem you recognize

Look for the work that has become repetitive, invisible, hard to hand off, or difficult to check. The goal is not to add AI everywhere. It is to make one real workflow easier to run.

Want the proof?

Each story can lead to the underlying Build Log, with the technical decisions, failures, and safeguards behind the result.

Try the lesson in your own work

Stories marked with a prompt include a copyable way to ask an AI assistant for a careful review. You keep control of the facts, the decisions, and every change.

Paired lenses

Start with the work you recognize. Open the field note when you need the system behind it.

  1. 01 · Everyday story

    Do Not Make Every New Session Start From Guesswork

    Repeated explanations are a sign that important context is trapped in memory instead of being available where the work begins.

    Technical field noteWriting an AI_CONTEXT.md So Your Assistant Stops Rediscovering Your CodebaseOpen the technical lens
  2. 02 · Everyday story

    When a Default Hides a Decision You Still Need to Make

    A convenient default can quietly make a choice for people long after the situation has changed.

    Technical field noteGetAccountFilter and the Case for an Explicit Context You Can OverrideOpen the technical lens
  3. 03 · Everyday story

    When a Familiar Screen Makes a Simple Job Harder

    Repeated fixes can be a sign that the work has outgrown the way it is being presented. Before improving another detail, ask whether the process still fits the task people need to complete.

    Technical field noteThe Create-Event Dialog Had to DieOpen the technical lens
  4. 04 · Everyday story

    When You Keep Fixing the Same Thing by Hand

    A repeated correction is not always quality control. It can be a quiet signal that the process or tool is producing an unreliable result.

    Technical field noteThe workflow broke in the glue code, not the AIOpen the technical lens
  5. 05 · Everyday story

    A Suggestion Is Not an Assignment

    A recommendation becomes risky when it can be mistaken for work that someone has already approved or accepted.

    Technical field noteAI Can Only Say "Suggested": The Invariant That Keeps AI Triage From Flooding Your TeamOpen the technical lens

Find the work problem you recognize

Start with the moment that is making work harder.

These paths are not categories for AI tools. They are common work situations. Choose the one that sounds familiar, then follow the practical stories and their technical field notes as far as you need.

Explore all six reader paths →

For a live workflow, not for every reader

Need a decision for one real work problem?

These stories can help you diagnose a pattern. If you need to decide what to repair, what AI can safely do, and whether a small pilot is worth proving, DXDEV offers a fixed-scope assessment for one workflow your team owns.

USD 4,500, fixed-scope. One workflow, one clear decision, and no artificial scarcity.

Stories about making work easier to run

The Build Log is still part of the story.

DXDEV documents how these systems are built, tested, and kept safe in the real world. If you want to inspect the implementation behind the practical lesson, start there.

Explore the Build Log →