bluey on private answer layer

Bluey

Stay present, stay unseen.

Bluey sits on your screen, listens when you ask it to, reads the context you attach, and streams useful answers without pulling you out of the moment.

Native macOS alpha today. Managed AI, STT, vision, wallet, and account sync are wired through Bluey Cloud.
Bluey
Auto -> Deep/System Design
Balance $30.00
Transcript / You

Walk me through a production AI architecture for three workflows with safety, latency, and testing.

Bluey response

Start with a central orchestrator. Keep channels thin, route each workflow to a specialist lane, and make policy checks explicit before any agent calls tools.

Why this answer

Classified as deep system design from transcript length, architecture terms, and multi-workflow constraints. Canvas opened for structure.

Canvas Architecture
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Ask anything or let transcript fill in...
Docs
Screen
Answer flow

Bluey turns live context into a response you can use.

Typed question, transcript, screen analysis, and attached files all become one clean request. The UI keeps the question on the right, the answer on the left, and opens canvas only when structure helps.

1. Capture intent

Start listening, type a question, attach docs, or analyse the screen. Bluey keeps source labels and waits for user action.

2. Route the task

Quick prompts start fast. Coding, system design, documents, and vision move to stronger lanes automatically.

3. Stream the answer

Answers appear line by line. When the output needs code, design, or structured edits, canvas opens beside chat.

What it helps with

One overlay for calls, code, documents, and follow-ups.

STT
Live calls

System and microphone transcript stay source-labeled so answers know who said what.

DEV
Coding help

Code-style answers open canvas for implementation, complexity, tests, and follow-up changes.

DOC
Document context

Attach readable files and turn them into session context and searchable account knowledge.

VIS
Screen analysis

Analyse the current screen with consent, then route through vision and normal answer lanes.

Managed routing

No provider menu for the user. Bluey picks the lane.

Users see Auto, not a wall of models. Internally Bluey routes across quick, balanced, deep, and vision paths based on task shape and attached context.

1
Instant

Short asks and quick clarifications start in the lowest-latency lane.

2
Balanced

General work and normal technical answers use the default managed lane.

3
Deep

Architecture, coding, reasoning, and long-form tasks get stronger planning.

4
Vision

Screen, image, and diagram asks include visual context and can still escalate.

Credits

Pay for the managed lanes you actually use.

Bluey uses a prepaid wallet. Reload credits, run until zero, and avoid surprise usage. The account page shows balance, recent usage, and tier classification.

$30 reload

Minimum reload for alpha. Credits expire after one year and stop at zero.

Cost labels

Each managed response can show the lane and cost once billing events are recorded.

Capacity aware

Provider keys, capacity buckets, and Redis-backed health tracking are part of the managed server path.

Local fallback

Local models are availability fallback, not the customer-facing paid model menu.

Control

Context should be obvious, permissioned, and recoverable.

Visible controls

Listen, docs, screen, style, and answer actions live in the overlay composer.

Session history

Past sessions can be reopened, renamed, and continued instead of disappearing.

Knowledge base

Useful documents and transcripts can sync to cloud RAG for follow-up work.

Supportable logs

Trace IDs, redaction, and support bundles make real debugging possible.

Start with one command.

Install Bluey, run the overlay, and connect your account when cloud answers are needed.

curl -fsSL https://bluey.sh/install.sh | bash Download script