Bezel Team intent
internal prototype · canonical JSON + Dreamborn Forge HTML
internal generated
intent · supabase_json

Bezel Team intent

People with real product ideas need production software, not clickthrough demos or generic AI coding sessions. They often cannot translate domain expertise into screens, architecture, build plans, deployment decisions, and operating workflows. Existing AI dev tools start too late at prompt-to-code; agencies are expensive and opaque; no current workflow combines meticulous product design, human-reviewable screens, multi-model critique, AI-first workflow transformation, agent-built implementation,

Planning Surface

Use this to decide what happens next.

Status

draft

problem

People with real product ideas need production software, not clickthrough demos or generic AI coding sessions. They often cannot translate domain expertise into screens, architecture, build plans, deployment decisions, and operating workflows. Existing AI dev tools start too late at prompt-to-code; agencies are expensive and opaque; no current workflow combines meticulous product design, human-reviewable screens, multi-model critique, AI-first workflow transformation, agent-built implementation, and production hosting in one guided process.

success metrics
metrictarget
Screen clarityCustomer can explain what will be built by walking through approved screens, not prose.
Design-to-build integrityEvery build task for UI work links to an approved screen/state artifact.
Production deliveryFirst customer receives a working hosted product, not a clickthrough.
AI-first expansionEach product design produces a clear opportunity map separating included build from optional supporting-agent expansion.
OrientationCustomer can identify current phase and next action within five seconds on any screen.
open questions
  • Should the first customer flow require Dreamborn operator review at every gate, or only at architecture/build/release gates?
  • Should wireframes initially be structured HTML inside Dreamborn Build, or exported image artifacts as well?
  • What is the first paid package: fixed-price product design sprint, build sprint, or bundled design+build pilot?
  • Should Dreamborn hosting be the default for V1 unless customer explicitly asks for connected infrastructure?
Agent Handoff
Start Here

People with real product ideas need production software, not clickthrough demos or generic AI coding sessions. They often cannot translate domain expertise into screens, architecture, build plans, deployment decisions, and operating workflows. Existing AI dev tools start too late at prompt-to-code; agencies are expensive and opaque; no current workflow combines meticulous product design, human-reviewable screens, multi-model critique, AI-first workflow transformation, agent-built implementation,

Completion Evidence
metrictarget
Screen clarityCustomer can explain what will be built by walking through approved screens, not prose.
Design-to-build integrityEvery build task for UI work links to an approved screen/state artifact.
Production deliveryFirst customer receives a working hosted product, not a clickthrough.
AI-first expansionEach product design produces a clear opportunity map separating included build from optional supporting-agent expansion.
OrientationCustomer can identify current phase and next action within five seconds on any screen.
Problem

People with real product ideas need production software, not clickthrough demos or generic AI coding sessions. They often cannot translate domain expertise into screens, architecture, build plans, deployment decisions, and operating workflows. Existing AI dev tools start too late at prompt-to-code; agencies are expensive and opaque; no current workflow combines meticulous product design, human-reviewable screens, multi-model critique, AI-first workflow transformation, agent-built implementation, and production hosting in one guided process.

Goal

Dreamborn Build guides a product owner from raw idea to production software. It uses Bezel to run an AI-first product studio process: discovery, intent, AI-first opportunity mapping, screen-by-screen design, wireframes, architecture, build planning, managed AI dev execution, proof review, deployment, hosting, and iteration.

Open Questions
  • Should the first customer flow require Dreamborn operator review at every gate, or only at architecture/build/release gates?
  • Should wireframes initially be structured HTML inside Dreamborn Build, or exported image artifacts as well?
  • What is the first paid package: fixed-price product design sprint, build sprint, or bundled design+build pilot?
  • Should Dreamborn hosting be the default for V1 unless customer explicitly asks for connected infrastructure?
Success Metrics
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Structured Payload

Machine-readable source fields

goal

Dreamborn Build guides a product owner from raw idea to production software. It uses Bezel to run an AI-first product studio process: discovery, intent, AI-first opportunity mapping, screen-by-screen design, wireframes, architecture, build planning, managed AI dev execution, proof review, deployment, hosting, and iteration.

in v1
  • Dreamborn Build shell at build.dreamborn.ai
  • Project overview and next-action orientation
  • Discovery chat plus structured intake facts
  • Intent review
  • AI-first opportunity map
  • Screen map review
  • Wireframe review for critical screens
  • Screen state matrix
  • Architecture review
  • Build plan review
  • Build dashboard with proof bundles
  • Release review and hosting choice
  • Multi-model evidence and synthesis at major gates
  • Manual Generate Playground flow for wireframe/spec review
out v1
  • Public Bezel Core CLI
  • Generic engineering-team devtool SaaS
  • Clickthrough-only prototype delivery
  • Full Figma-level design tool
  • Marketplace
  • Self-hosted enterprise installer
  • Autonomous deploy without approval
  • Bundled build/operation of every recommended support agent
problem

People with real product ideas need production software, not clickthrough demos or generic AI coding sessions. They often cannot translate domain expertise into screens, architecture, build plans, deployment decisions, and operating workflows. Existing AI dev tools start too late at prompt-to-code; agencies are expensive and opaque; no current workflow combines meticulous product design, human-reviewable screens, multi-model critique, AI-first workflow transformation, agent-built implementation, and production hosting in one guided process.

version

1

project id

bezel-team

updated at

2026-05-04T14:57:54.482Z

project name

Dreamborn Build / Bezel Product Studio

core workflow
phasepromise
DiscoveryBezel asks questions until the raw idea becomes structured product context.
IntentCustomer reviews what Dreamborn believes the product is and who it serves.
AI-First OpportunityDreamborn shows where the product should move beyond SaaS-shaped manual workflows into agent-supported operations.
ScreensCustomer reviews the screen inventory and user flows before architecture/build.
Wireframes + StatesCustomer sees and approves critical screens and their non-happy-path states.
ArchitectureDreamborn turns approved product design into a production architecture.
Build PlanCustomer approves what will be built, in what order, and what counts as done.
BuildAI dev team builds against approved artifacts with proof bundles and human gates.
ReleaseCustomer reviews the production release candidate and chooses hosting.
Operate/IterateDreamborn supports iteration and optional supporting-agent expansion.
primary users
typesuccessdescription
Founder or operator with a product ideaCan explain the idea, review screens, approve plan and scope, then receive a working hosted product.Has a real workflow/product need and wants actual production software built, but does not have a full product/design/dev team.
Domain expert or small business ownerSees domain workflow converted into approved screens, build plan, live product, and optional supporting agents.Understands the business workflow deeply but needs Dreamborn to translate it into software and AI-first operations.
Dreamborn operatorCan move a customer through gates without losing decisions in chat or allowing unapproved build work.Internal human who supervises model research, artifact quality, build execution, customer approvals, and release readiness.
next artifacts
  • AI_FIRST_OPPORTUNITY_MAP
  • WIREFRAME_SPEC
  • ARCHITECTURE
  • POLICY
  • PLAN
open questions
  • Should the first customer flow require Dreamborn operator review at every gate, or only at architecture/build/release gates?
  • Should wireframes initially be structured HTML inside Dreamborn Build, or exported image artifacts as well?
  • What is the first paid package: fixed-price product design sprint, build sprint, or bundled design+build pilot?
  • Should Dreamborn hosting be the default for V1 unless customer explicitly asks for connected infrastructure?
non negotiables
  • No build dispatch from prose-only requirements.
  • No product build starts until intent, opportunity map, screen map, key wireframes, architecture, and plan are approved or explicitly waived by Dreamborn operator.
  • Every customer-facing screen shows current phase, current action, blockers, and next step.
  • Q&A must attach to artifacts/screens/tasks whenever possible.
  • Important Q&A answers must be promoted into structured artifacts, not buried in chat transcripts.
  • Multi-model reviews are evidence; accepted decisions live in synthesis/decision artifacts.
  • Agent recommendations are included in design as an opportunity map; building/operating those agents is separate expansion scope unless explicitly sold.
  • External product language uses Dreamborn/Bezel only. No RedKey/HCS/Hedera language.
  • Secrets and customer credentials are never placed in prompts, repo files, or public logs.
  • Artifacts that customers struggle to visualize should generate sandboxed playgrounds before build approval. The artifact remains source of truth; playgrounds are review surfaces.
success metrics
metrictarget
Screen clarityCustomer can explain what will be built by walking through approved screens, not prose.
Design-to-build integrityEvery build task for UI work links to an approved screen/state artifact.
Production deliveryFirst customer receives a working hosted product, not a clickthrough.
AI-first expansionEach product design produces a clear opportunity map separating included build from optional supporting-agent expansion.
OrientationCustomer can identify current phase and next action within five seconds on any screen.
product philosophy
design definition

Design is not prose. Design includes product intent, screen map, flows, wireframes, screen states, architecture, policy, and build plan.

ai first definition

AI-first does not mean adding chat to SaaS. It means redesigning the work: deciding what humans should approve, what agents should do, what screens exist for judgment and control, and what workflows should become autonomous or semi-autonomous.

production definition

The deliverable is working software deployed to production or a production-ready handoff, with source, tests, hosting path, review evidence, and operating assumptions. Clickthrough demos are not acceptable deliverables.

company product naming
company

Dreamborn

product

Bezel

surface name

Dreamborn Build

canonical domain

build.dreamborn.ai

allowed public language
  • Dreamborn Build
  • Bezel by Dreamborn
  • Dreamborn Build powered by Bezel
forbidden public language
  • RedKey
  • HCS
  • Hedera
  • blockchain
  • agent topics
  • task.complete