I'm the one who's been quietly testing the app.

Heads-down until now, on purpose — to understand our issues before adding noise.

• I run the test harness and the coverage work — I've been living in the app's edges.
• You may not have heard from me directly — until now my findings reached you through Marc.
• I'm up to speed now. So let's make that feedback direct, and much faster.

The test process, in one picture.

• Adversarial safety harness — structured scenario suites that probe how the app responds when it matters most.
• Functional testing — hands-on runs through the real app: does each flow actually work, end to end.
• Coverage reporting — what's been exercised, what passes, and where the gaps still are — tracked over time.

Let me show you — I'll share my screen and run one, live.

Faster to see it once than to describe it three times.

Four quick stops: the harness → one scenario end to end → the coverage report → a real bug reproduced. The devs see the rigor, not just hear about it.

Open the harness.

Show: the 12 suites, 189 scenarios.  Say: "This is what runs against every build."

Run one scenario — live.

Show: what goes in, what the app does, how it's scored — an everyday scenario, not a crisis.  Say: "This is exactly how we judge whether a behavior is right."

The coverage report.

Show: what's exercised, what passes, where the gaps are.  Say: "Here's where we're solid — and where we're still thin."

Reproduce a real issue.

Show: the exact broken behavior and the steps to see it.  Say: "This is the kind of thing that reaches you directly, every week now."

Why this matters — the value it's buying us.

Every issue caught here is one a family never hits.

• De-risks the trial. The app is going in front of real people — testing is what makes that safe to do.
• Turns "it feels off" into something fixable. Specific, reproducible findings the team can act on.
• Compounds. Coverage that grows week over week is the quality story — and a real advantage.

The validations — what we've checked, and where it holds.

Safety behavior is exercised across 189 adversarial scenarios in 12 suites — probed, not assumed. On the functional side, the flows I've verified hold; the ones that don't are what we work in the loop below.

Consistency — the same process, every time.

• Repeatable. Same suites, same steps — results you can compare release to release, not one-off spot checks.
• Reproducible. Every finding comes with the steps to see it again — no "works on my machine."
• Trended. We can see whether quality is improving or drifting, not just today's snapshot.

The loop already works — here's what shipped.

Testing that feeds back into the build is worth far more than a report that sits on a shelf. This is proof it does — and the reason to make the loop tighter.

Why I think joining you on Mondays would help.

Find it Friday, fix it this week, verified by Monday.

• Findings reach the developers directly — not through a relay, not days later.
• The distance between finding a problem and fixing it gets as short as it can be.

A weekly rhythm where nothing lingers.

And nothing silently regresses — because the fix comes back to me before it counts as done.

Every issue arrives ready to act on.

• What breaks — the exact behavior, in plain terms.
• How to reproduce — the steps, so you see it in 30 seconds.
• Severity — Blocker · Major · Minor, so we sort by what matters.
• Why it matters — the user or trial impact, not just the bug.

This week — the few that matter most.

Short on purpose — the handful blocking quality, not the whole list.

Today's agenda.

• 1Hello + why I'm here · 5 min
  Who I am, and what we're starting together.
• 2Live demo — how the testing works · 20 min
  Screen-shared: the harness → one scenario → the coverage → a real bug.
• 3This week's top issues · 15 min
  The few that matter — repro + severity + impact.
• 4The loop we're starting · 10 min
  How findings reach you and get verified, every week.
• 5Prioritize + close · 10 min
  What gets fixed this week, and what I verify next.

What "done" means.

No "fixed on my machine." No silent regressions.

• Fixed = I've reproduced the original, run the fix, and it holds.
• That's how the list gets shorter — and stays shorter.