Built for Qwen Cloud Hackathon · Track 3: Agent Society

Ship features with
a full AI team.

Seven specialized agents — from Context Analyst to Release Manager — coordinate in real time to turn any feature request into production-ready code.

Try live demo →
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PrismOS — Add OTP login to fintech app
PrismOS
Command Center
⌕ Search runs...
All agents online
JD
F
Fintech App
14 memory entries
Overview
Projects
Sessions
Conflicts
Benchmark
Settings
✦ New run
Run overview
All agent sessions · Last 30 days
24
Total runs
19
Shippable
47
Conflicts
2.4m
Avg. time
Feature request
Verdict
Time
"Add OTP login to a fintech app"
SHIPPABLE
2m 18s
"Build real-time chat with WebSockets"
SHIPPABLE
3m 04s
"Add Stripe payment integration"
NEEDS REVISION
4m 41s
"Implement rate limiting middleware"
SHIPPABLE
1m 52s

Built on infrastructure trusted by

VertexNorthbeamQuantaLedgerlyForgeHyperline
Features

Built for real delivery.

Every feature is designed around one goal: getting from request to shippable code, faster, without losing context of what already exists.

✦ Live streaming

Watch every agent think in real time

Each of the 7 agents streams its output token-by-token into its own panel. You see the debate as it happens — not a spinner and a final answer.

Context Analyst maps repoEngineer pushes backRelease Manager resolves
⚖ Conflict resolution

Disagreement is the system working

Agents are designed to conflict. The Release Manager reads every position, applies tradeoff logic, and issues a binding decision with a logged rationale.

SMS vs email OTPJWT vs sessionsOTP expiry window
📦 Final package

Code, UX spec, tests — and a verdict

Every run delivers a complete package: production code with file paths, a full UX spec, a QA test report, and an explicit SHIPPABLE or NEEDS REVISION verdict.

Runnable codeUX interaction specShip verdict
The team

Seven agents.
One mission.

Each agent has a fixed role and the right to challenge any other agent's output before the workflow advances.

00

Context Analyst

Maps your existing product before any planning begins. Detects stack, models, routes, and integration risks.

Product context summary
Stack detection
Constraint report
01

PM Agent

Translates feature requests into structured requirements. Defines scope, user stories, and MVP boundary.

PRD document
User stories
MVP boundary
02

Architect

Owns technical design. Selects stack patterns, defines data models, and API contracts.

Component diagram
API schema
Tradeoff log
03

UI/UX Designer

Defines screen hierarchy, layout, component structure, and every interaction state before code is written.

Screen hierarchy
Component spec
Interaction states
04

Engineer

Writes production-ready code. Pushes back on over-engineered designs. No pseudocode.

Runnable code
File structure
Setup guide
05

QA Agent

Intentionally attacks the implementation. Runs frontend and backend checks. Issues a binding verdict.

Test scenarios
Bug report
Ship verdict
06

Release Manager

Resolves conflicts between agents. Issues binding decisions with logged rationale.

Conflict log
Decision record
Final path
Steps to use

3 steps to kickstart

From feature request to validated code — made effortless in three steps.

Drop in your context

Paste a GitHub URL, upload files, or describe your product. No setup, no account linking required.

Connect a public GitHub repo
Upload code, schemas, or docs
Or just describe what exists
github.com/user/fintech-app
.py
.tsx
.sql
Stack detected: Next.js + FastAPI

Describe the feature

Type the feature in plain language. Classify it as new, an enhancement, a refactor, or a fix.

Plain-language feature request
Auto-classified by the PM agent
Project memory loaded automatically
"Add OTP login to the fintech app"
Enhancement
12 memory entries loaded

Watch the team ship it

All 7 agents run in sequence. Conflicts get resolved live. You get a SHIPPABLE verdict or a clear list of what to fix.

Live streaming agent panels
Conflict log with rationale
Production code + QA verdict
PM Agent
Architect
Engineer
QA Agent
SHIPPABLE ✓
📊Benchmark

Multi-agent vs single model.

A demo without the baseline is just a chatbot with extra steps. Here's the same feature request run both ways.

Metric
Mode A — Single model
Mode B — PrismOS
Requirements surfaced
2 issues found
9 issues found+7
Design conflicts resolved
0 conflicts
3 conflicts logged
Edge cases handled
1 edge case
6 edge cases+5
Frontend QA checks
None run
Responsive, a11y, UX
Security flags raised
None
OTP expiry, JWT scope
Delivery verdict
No verdict
SHIPPABLE
Pricing

Simple pricing. Full team.

Builder
For solo developers shipping fast.
$29/month
50 agent runs / month
All 7 agents
Project memory (1 project)
Conflict log history
Code download
Community support
300+ solo devs
Team
For engineering teams shipping together.
$99/month
300 agent runs / month
Everything in Builder
Project memory (unlimited)
Shared session history
Priority processing
Benchmark analytics
Slack notifications
250+ growing teams
Enterprise
Unlimited runs with dedicated infrastructure.
HyperSonic
Unlimited agent runs
Custom agent prompts
Private deployment
SLA + dedicated support
SSO + audit logs

The future of intelligent
software delivery.

Stop prompting a single model. Start working with a team.

PrismOS