Yellowfirst · AI-first execution

One Prompt UX Designer. One Prompt Full-Stack Engineer. A Project Owner to hold the vision. Everything else — research, design, code, integration, QA, DevOps — orchestrated through Claude and a swarm of specialized AI agents.

3
Humans on the team — owner, designer, engineer
20+
Specialized AI agents handling execution 24/7
10×
Faster from requirements to deployed product
The living team

Three humans. Twenty agents. One mission.

Humans hold judgment. Agents hold execution. Hover a human to see which agents report to them — watch the swarm respond.

ROLE 01
Project Owner
Vision, requirements, constraints
ROLE 02
Prompt UX Designer
Claude Design · ships runnable frontend
ROLE 03
Prompt Full-Stack
Claude Code · build, ship, operate
Hover a human to filter · click any agent for details
Meeting the team is one thing. Watching them work is another.
↓ THE HANDOFF MOMENT
Act 02 · The handoff

Drag to watch the handoff morph.

Most teams lose weeks at the designer-to-engineer boundary. We turned it into a runnable artifact. Slide from Designer to Engineer and watch the same work transform: Figma frame → API contract → production HTML.

Prompt UX Designer
Prompt Full-Stack Engineer
PROGRESS
0%
DESIGN FRAME — Figma / Nano Banana
dashboard-v2.fig · frame
HERO
CARDS
FOOTER
HANDOFF.JSON · API CONTRACT
{ "component": "Dashboard", "tokens": { "color.primary": "#2563a8", "radius.card": 16, "space.gutter": 24 }, "endpoints": [ { "path": "/api/metrics", "method": "GET" }, { "path": "/api/activity", "method": "GET" } ], "a11y": { "contrast": "AA" } }
app.yellowfirst.ai/dashboard
Your dashboard is live.
Shipped in 4 days. Backend wired, API connected, production-ready.
View metrics →
Active users
Live from /api/metrics
Revenue
Synced to Stripe
Activity
Streaming via WS
Designer ships runnable HTML/CSS/JS — not Figma frames. The first output is already production-shaped.
Designer ships Running code — semantic HTML, tokens applied, a11y baked in.
The seam itself A runnable artifact — not a deck, not a spec. Tokens + contract + HTML.
Engineer receives First commit wires APIs — not rebuilds the UI. Frontend is already done.
Act 05 · The loop

Eight words. Running continuously. Forever.

Not a sprint cadence. Not a quarterly plan. A continuous orbit where production telemetry feeds back into requirements — and the next iteration starts before the last one ships.

The Loop
Never stops. Production feeds requirements.
Production telemetry and customer feedback route back through the Feedback Synthesizer to the Project Owner — who rewrites requirements, and the loop starts again. No sprint theater. No roadmap fiction.

The loop in practice — the CI/CD pipeline.

Every step, what it does, and whether it's automated, human, or a gate. Scroll horizontally to see the full pipeline.

01
Code Commit
Agent-authored, human-reviewed PRs
AUTOBuild agent pushes on a feature branch with conventional commits.
HUMANEngineer reviews diff; comments turn into Claude Code prompts.
GATEHuman approves; auto-merge triggers downstream.
02
CI Pipeline
Build, lint, unit tests in parallel
AUTOParallel jobs: compile, typecheck, lint, format.
AUTOUnit tests the QA agent generated from requirements.
03
Security Scan
SAST, DAST, dependency audit
AUTOSAST, dependency audit, secret detection.
AUTOSecurity agent triages findings with severity scoring.
04
Artifact Build
Docker image, signed & tagged
AUTOImage built, signed (cosign), tagged with SHA.
AUTOSBOM generated; image scanned for known CVEs.
05
Deploy Staging
Ephemeral env, seeded data
AUTOTerraform applies; ephemeral env spins up with seed data.
06
Automated Tests
E2E, regression, load, visual
AUTOPlaywright E2E, visual regression, contract + smoke tests.
AUTOk6 load test + axe-core a11y. Both must green-light.
07
Deploy Production
Blue/green, canary, rollback-ready
GATEProject Owner approves release notes from Documentation agent.
AUTOCanary 5% → 25% → 100%, watching SLOs at each step.
AUTOSLO breach triggers automatic rollback in seconds.
08
Observe & Remediate
Logs, metrics, alerts, auto-heal
AUTOLogs, metrics, traces stream to observability agent.
AUTOTickets, reviews, calls synthesized into weekly priorities.
HUMANProject Owner re-ranks next iteration. Loop restarts.
Tools orchestrated via Claude agents: GitHub / GitLab · Docker · Kubernetes · Terraform · AWS / Azure / GCP · Prometheus · Grafana · ELK · Sentry · PagerDuty
The seven familiar SDLC stages — Discover, Define, Design, Develop, Test, Deploy, Operate — map 1:1 to these lanes. Same lifecycle, different labor.
The system runs. Now the hardest part — getting it into your company.
↓ THE ADOPTION PATH
The semantic layer

Build it once. Every product in the org inherits it.

Most companies rebuild data plumbing, auth, entities, and agent connectors for every new product. Yellowfirst builds a shared semantic layer underneath — a unified representation of your customers, products, orders, conversations, and agent capabilities. New products plug in; they don't start from scratch.

Top layer · Products
Every product the org ships
Customer portal
web app
Admin dashboard
internal tool
Mobile app
iOS / Android
Partner API
public surface
Support tools
agent desk
New product N
next quarter
↑ READS / WRITES / CALLS AGENTS ↑
Core · The semantic layer
Shared entities, policies, and agent capabilities
Unified entities
One definition of Customer, Order, Product, Conversation — used by every app.
Unified auth & permissions
One identity model, one policy engine — wired once, reused everywhere.
Unified agent gateway
Every agent callable from any product via MCP — no per-product wiring.
Event bus & audit log
Every write emits an event; full audit trail across the org.
Feature flags & config
Central toggles, A/B frameworks, per-tenant settings — applied org-wide.
Shared design system
One token set, one component library; every UI looks like the same company.
↑ STREAMS & SYNCS ↑
Base layer · Multi-source data
Every system of record you already run
Postgres / MySQL
transactional
Snowflake / BigQuery
warehouse
Salesforce
CRM
MongoDB / DynamoDB
NoSQL
Vector store
embeddings
Legacy APIs
SOAP / REST
S3 / Blob
files
Stripe / Zendesk
SaaS tools

Think of this as the compounding interest of the framework. Product 1 pays to build the layer. Products 2 through N ship dramatically faster because they inherit it.

Full-stack architecture

Five layers. One cohesive stack.

From the user's tap all the way down to the cloud region — every layer is designed to compose. Click a layer to see how agents, humans, and systems meet inside it. Cross-cutting concerns on the right touch every layer at once.

01 Presentation
User-facing surfaces
Web app
React / Next
Mobile
iOS / Android
Voice
phone / speaker
Chat
in-product / SMS
Public API
REST / GraphQL
Admin tools
internal
↓ CALLS ↓
02 Application & Agents
Orchestration
Agent gateway
MCP router
Research & Design
6 agents
Build & Integrate
6 agents
Ship & Operate
6 agents
Customer-facing
6 agents
Intelligence
3 agents
Migration
3 agents
↓ READS / WRITES ↓
03 Semantic & Domain
Shared meaning
Entity model
customer, order…
Policy engine
auth / RBAC
Event bus
pub/sub
Audit log
immutable
Feature flags
per-tenant
Design tokens
visual contract
↓ PERSISTS / QUERIES ↓
04 Data
Systems of record
Postgres / MySQL
transactional
Warehouse
Snowflake / BQ
Vector store
embeddings
Object storage
S3 / Blob
Cache
Redis
Legacy DBs
CDC bridged
↓ RUNS ON ↓
05 Infrastructure
Where it runs
AWS / Azure / GCP
multi-cloud
Kubernetes
EKS / GKE / AKS
Terraform
IaC
CI/CD
GitHub Actions
CDN + edge
Cloudflare
DNS + WAF
perimeter
Cross-cutting concerns
Touch every layer.
  • Identity & auth — one policy engine
  • Observability — logs, metrics, traces
  • Security & compliance — SAST, DAST, SOC2
  • Cost & FinOps — per-tenant attribution
  • Feature flags — org-wide rollouts
  • Data lineage — every event audited
Tap a layer
Click any layer on the left to see what lives there, who owns it, and how it connects up and down the stack.
The handoff is one moment. You control the whole system.
↓ THE CONTROL SURFACE
Act 03 · The control surface

Edit the product. Rebuild the stack. Never lose context.

This is the control surface for the entire build. Drag a node, rename it inline, swap the tech stack, connect it somewhere new — then click Copy workflow JSON and paste it back to Claude. The agents re-plan design, backend, database, and deploys against the diff. Your context never resets.

Workflow JSON — paste back to Claude to rebuild against this architecture

      
Click labelrename inline Click techedit stack Dragmove node Dot → Dotconnect nodes
Act 06 · Adopting it

You don't rebuild. You strangle the old system one surface at a time.

The biggest reason AI-first teams fail at enterprises isn't the AI — it's the lift-and-shift fantasy. Nobody rewrites a ten-year-old monolith over a weekend. Our framework slots in alongside what you already run, takes over surfaces one at a time, and leaves your team free to keep the lights on while the new system takes shape.

Read and document the old system
The Legacy Code Reader and Data Migration agents ingest your existing codebase, database schemas, and API contracts. They produce structured documentation of what the system actually does — often the first complete picture the company has ever had. Your team keeps shipping; the agents work around them.
Week 1–2 No code frozen
Stand up the semantic layer alongside
We build the shared entity model and agent gateway next to your existing systems, not on top of them. Read replicas, CDC streams, and API proxies keep both systems in sync. Nothing production-facing changes yet.
Week 2–4 Read-only first
Pick one surface, route traffic through the Strangler
Typically the lowest-risk, highest-feedback surface — a marketing page, an internal dashboard, a single customer workflow. The Strangler-fig Router sends a percentage of traffic to the new build. If it breaks, we route 100% back in seconds. When it's stable, we keep going.
Canary: 5% → 100% Zero downtime
Retire old surfaces as new ones take over
Surface by surface — checkout, auth, admin, reporting — we cut them over. Your existing engineers keep owning the legacy until its surface area shrinks to nothing. Nobody gets laid off in the middle of a migration; the work just changes shape.
3–9 month typical Team intact
Legacy system decommissioned when it's empty
When the old monolith has no more traffic, we turn it off. By then every new product the org builds already lives on the semantic layer, inherits the agent library, and ships in days. The migration paid for itself; now every future product ships 10× faster.
End state Compounding returns
The full agent roster

Thirty agents, six clusters, one orchestration layer.

Agents aren't a flat pool — they're organized by where they fit in the lifecycle. Design agents report to the UX Designer. Build agents report to the Engineer. Customer-facing and intelligence agents serve the live product.

CLUSTER 01
Research & Design
Reports to UX Designer
A01Business Research
Market sizing, competitor teardowns, positioning signals, industry trend scans.
A02Audience Research
Personas, journeys, jobs-to-be-done, synthesized interview transcripts.
A03UI System Manager
Design tokens, typography scales, spacing, component contracts, a11y rules.
A04Wireframe Agent
Low-fi flows, information architecture, navigation maps, journey diagrams.
A05Visual Design
Hi-fi mockups, brand application, illustration direction, imagery choices.
A06HTML/CSS/JS Extractor
Converts design into clean, semantic, responsive, runnable frontend code.
CLUSTER 02
Build & Integrate
Reports to Full-Stack Engineer
A07Frontend Build
Wires state, routing, API calls; React / Vue / Next on the UX handoff.
A08Backend Build
REST / GraphQL APIs, Node.js / Java / Go services, auth, business logic.
A09Database Agent
Schema design, migrations, seed data; SQL, NoSQL, and vector stores.
A10API Integration
3rd-party APIs, webhooks, OAuth flows, MCP connectors, retry logic.
A11Salesforce Agentforce
Connect, pull/push data, flows, Apex, declarative automation.
A12Git & Version Control
Repo setup, branching strategy, conventional commits, PR hygiene.
CLUSTER 03
Ship & Operate
Reports to Full-Stack Engineer
A13QA Automation
Unit, integration, E2E, visual regression — generated from requirements.
A14DevOps
CI/CD pipelines, infra as code, containers, secrets, build caching.
A15CloudOps
AWS / Azure / GCP deploy, scaling, cost control, compliance posture.
A16Observability
Logs, metrics, traces, alerting, SLOs — the full three-pillar stack.
A17Security
SAST/DAST, dependency scan, secrets detection, threat modeling.
A18Release
Feature flags, canary rollouts, blue/green, rollback orchestration.
CLUSTER 04
Customer-facing
Runs inside the live product
A19Chatbot
In-product chat, grounded on your semantic layer; Q&A and actions.
A20Voice / Call AI
Inbound and outbound calls, real-time transcription, structured outcomes.
A21Email Response
Drafts, triages, and sends replies; escalates edge cases to humans.
A22Support Triage
Classifies, routes, resolves or escalates — with SLA awareness.
A23Content & SEO
Product copy, blog posts, landing pages, meta tags, internal linking.
A24Sales Outreach
Personalized cold email, LinkedIn DMs, follow-ups; CRM-native.
CLUSTER 05
Intelligence & Insight
Reports to Project Owner
A25Analytics & BI
Dashboards, cohort analysis, funnels, natural-language queries.
A26Feedback Synthesizer
Reads every ticket, review, call, survey; returns themes and priorities.
A27Documentation
Keeps docs, runbooks, API references, and changelogs current from source.
CLUSTER 06
Migration & Bridge
The wedge into existing stacks
A28Legacy Code Reader
Reads and documents PHP, Rails, .NET, COBOL monoliths into structured specs.
A29Data Migration
ETL/ELT, schema reconciliation, backfills, dry-runs, rollback plans.
A30Strangler-fig Router
Routes traffic between old and new systems; zero-downtime migration.
You've seen how it works. Here's what it costs you not to.
↓ THE MATH
Act 07 · The math

What happens when three people do the work of twenty.

This isn't "AI makes developers faster." This is a different shape of team. The work a SaaS company used to need a VP of Engineering to staff, we ship with a group chat of three.

Traditional SaaS team
The 20-person product pod you don't need anymore.
Product Manager1
UX / UI Designers2
Design System Lead1
Frontend Engineers5
Backend Engineers5
Database / DBA1
DevOps / SRE2
QA Engineers2
Security / Compliance1
Headcount 20
Yellowfirst AI-first team
Three humans, orchestrating the work.
Project Owner · vision1
Prompt UX Designer1
Prompt Full-Stack Engineer1
AI agents · specialized, 24/730
Human headcount 3

Faster time to market

Days to working prototype. Weeks to production. Not quarters.

$

Lower build cost

One team. One tool stack. No translation layers between specialists.

Quality by default

Testing, observability, and security aren't phases — they're agents running continuously.

Scale without hiring

More output means more agents, not more recruiters. Unit economics finally work.

Ready to see it live?

Show us your roadmap. We'll show you the team you don't need to hire.

45-minute walkthrough. We'll take a real slice of your roadmap and rebuild it live with the three-person team.