Business

Business overview

Free-trial activity, paid conversion, current engagement, and the people who may need attention.

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Selected period

Trials and paid conversion

Last 30 days
Trials startedConverted to paid

Right now

Live activity

Live

Newest accounts

Recent free trials

Five-day journey

Trial status

Customer messages

Inbox

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Select a conversation

Open a Support or Feedback message to review it and reply.

Foundation system

Algorithm health

100out of 100
All monitored rules are healthy

The deterministic auditor has not found a production failure.

Needs attention

Active findings

Across the application

Module health

Not refreshed yet

Selected period

Time by module

Last 30 days

Current presence

Online users

Live

Engagement explorer

Practice by user

Required product tour

Step-by-step completion

All current users

Follow-up opportunities

Where people stop

Individual journeys

Product-tour progress

Production cost ledger

See what every provider is costing by user and module

Tracks server-side API usage events from Single Word Practice, Everyday Sentence Practice, coach review, TTS, and realtime setup. The confidence label shows whether an event used exact provider tokens or a measured proxy for invoice reconciliation.

$0tracked cost

By provider

Provider spend

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By module

Module spend

Per user

User cost explorer

Not refreshed yet

Most expensive routes

Provider / operation

Live event trail

Recent API cost events

Internal crash and glitch reports

Find exactly where users are getting stuck

Captures safe client-side debugging evidence: stack traces, code hints, failed API paths, recent breadcrumbs, module, route, release, device, and sanitized state. Raw audio, full transcripts, request bodies, prompts, and secrets are intentionally excluded.

0grouped issues

Grouped by fingerprint

Active issue groups

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Latest evidence

Recent event trail

Not refreshed yet

Where it happens

Modules and routes

Developer package

Selected issue handoff

No issue selected

Open Crash Reports and select a grouped issue to copy a Codex-ready reproduction prompt.

Aphasia Hope-specific experience intelligence

Detect when the experience stops helping

Monitors practice, feedback, recording, adaptive queues, guided audio, required videos, saved progress, and release health. These findings are product-specific—not generic crash reports—and never store raw speech, transcripts, target text, or screen images.

0active findings

All product-specific rules

Detector coverage

Not loaded

Grouped by experience fingerprint

Findings that need attention

Not refreshed yet

What happened most recently

Experience event trail

Known rules

Safeguard coverage

Deterministic

Proof of adaptation

Movement checks

Traceable versions

Current production stack

Conversation testing

Find edge cases before users do

Generate controlled variations across meaning, speech form, timing, recognition, and dialogue state. Every result is reproducible from its seed.

Deterministic casesNo real user speechChecking storage
Latest pass rateRun a test to update

Step 1 · Define

Build the test set

Choose the target, aphasia profiles, and response variations you want to examine.

Deterministic
Aphasia profiles
Meaning alignment

Step 2 · Review

Preview test coverage

Inspect representative cases before running the complete suite.

0 cases
Your preview will appear here

Choose the variables, then select Generate preview. Nothing is saved until you run the suite.

Controlled comparison

Compare quality before changing production

Run identical synthetic cases through a baseline and a candidate profile. Review safety, response changes, and estimated cost before deciding what should move forward.

Same casesProduction unchangedChecking storage
Estimated savingsQuality gate included

Step 1 · Configure

Baseline versus candidate

Select one production reference and one candidate profile.

Safe test

Step 2 · Review

Comparison history

Open a recent run or start a new comparison.

No comparisons yet

Configure a baseline and candidate, then run your first safe comparison.

Investigation workflow

Turn a failed check into a reproducible task

Each handoff includes the test seed, evidence, failed safeguards, expected behavior, and a ready-to-copy investigation request.

No production identityEvidence attachedHuman verified
Open items0Across the developer queue

Controlled improvement

Algorithm releases

No automatic weight training

Promotion gate

CandidateRegression suiteShadow comparisonCanaryProduction

Changes never promote themselves. A human administrator approves every production release after deterministic safeguards pass.

Developer handoff

Handoff created

Customer operation

Confirm operation

Review the operation before continuing.