Make your apps and AI agents truly reliable

Diglet sends swarms of AI agents to explore your apps, test AI workflows, and uncover failures and hidden risks before they disrupt production.

Animated example of Diglet exploring a checkout and finding issues.
Payment gets no responseKeyboard focus is lost
01

Critical workflows Applications and AI agents

02

Failures and impact What happened and who it affects

03

Evidence and action Context for investigation and resolution

Where failures become business problems.

See how unreliable applications and AI agents affect customers and operations.

Start with a critical workflow.
Follow it to the actual outcome.
Finds bugs & regressions

Checkout stalls. Orders are at risk.

A customer clicks Pay and gets no response.

A shopper selects Pay on a $129 checkout, but the page stays unchanged with no confirmation or error.

Diglet captures the failure and the steps your team needs to reproduce it.

Finds security holes

One customer sees another’s private data.

An invoice is accessible to the wrong account.

A user signed in to Account A opens an invoice belonging to Account B, crossing the account boundary.

Diglet records the access failure and how to reproduce it.

Finds compliance gaps

Consent is rejected. Tracking continues.

Your policy requires acceptance. Optional analytics starts anyway.

The team’s cookie policy requires acceptance before analytics. A visitor chooses Reject optional, but analytics remains active.

Diglet checks your consent rules against actual browser activity.

Finds UX barriers

Keyboard users lose their place.

The sign-in button has focus, but no visible indicator—leaving keyboard users guessing.

Keyboard focus moves through the email and password fields, then disappears on the Sign in button.

Diglet shows where keyboard navigation breaks down and how to reproduce it.

Continue

AI agents

The AI agent says “done.”
The work isn’t.

An AI agent reports a completed update, but the customer record is unchanged.

  1. Update requested

    Set customer status to Active.
    Customer record
  2. AI agent

    Done.

    The record is updated.

  3. Customer record

    Customer
    Example account
    Status
    PendingUnchanged
  4. Manual
    rework

Diglet compares the agent’s claim with the actual result and captures the mismatch.

From findings to action.

Evidence and next steps for your team, with coding-agent handoff when a code change is needed.

  1. Failure identified.

    demo.app
    Checkout!
    Pay

    No response

  2. Evidence captured.

    Diglet

    Payment submission stalled

    • Evidence
    • Steps to reproduce
    • Resolution checks
  3. Ready for action.

    Finding from Diglet
    Restore a clear payment outcome.
    Evidence attached
    Your team
    or
    Your coding agent
    • Claude Code
    • ChatGPT / Codex
    • Cursor
    • GitHub Copilot
    1. Investigate
    2. Resolve
    3. Verify
View the evidence

Evidence

In this sample, the $129 checkout remains unchanged after Pay is selected. The screen gives no indication whether payment started or failed.

Reproduce it

  1. Add the $129 headphones to the cart.
  2. Continue to checkout and select a test payment method.
  3. Select Pay. Observe that the checkout shows no response.

Resolution checks

  • A successful test payment reaches confirmation.
  • A failed test payment shows an error and allows a safe retry.
  • Repeated clicks during submission do not create duplicate payments.
Copy a prompt

What would you like
Diglet to investigate?

Tell us about your apps or AI agents. We’ll get in touch to arrange a demo.

[email protected]
What needs to be more reliable?
Describe the problem (optional)

Please don’t share credentials or sensitive app data.

We’ll use your details to discuss Diglet. Privacy

A payment stalls at checkout.

1 of 3

Diglet Assistant

Talk through your reliability challenge.

What needs to be more reliable?

Tell us about your apps or AI agents, what goes wrong, and how your team handles it.

Add your email for follow-up (optional)

So our team can pick up the conversation.