Application Layer
User-facing surfaces stay independent and easy to evolve.
- @ai/app runs core product workflows
- @ai/admin isolates moderation and controls
- @ai/web handles marketing and conversion
ShipAI.today gives you a production-ready foundation for launching fast. Enterprise-grade security, scalable infrastructure, complete billing, and a modern stack are already wired for deployment.
$
$
$
Each layer has a single responsibility: apps serve users, packages provide shared capabilities, handlers orchestrate AI behavior, and infrastructure keeps runtime stable.
User-facing surfaces stay independent and easy to evolve.
Reusable packages keep core logic in one place.
Handlers turn requests into explicit, testable stages.
Infra rails keep async work and observability predictable.
Apps
3
Clearly separated surfaces
Packages
15+
Composable building blocks
AI Handlers
11
Explicit orchestration graph
Infra Rails
4
Jobs, storage, telemetry, analytics
New contributors can understand where logic belongs in minutes.
Features grow by extending modules, not by rewriting the core.
Handler stages make behavior observable and easier to test.
Every layer is preselected for production speed: runtime, storage, AI orchestration, infrastructure, interface, and monetization. This matrix keeps tradeoffs visible while preserving a clean build path.
Execution Core
Bun
4x faster than Node.js
Next.js 16
Server components, streaming
TypeScript 5.5
End-to-end type safety
State Layer
PostgreSQL 17
Scalable, reliable
Drizzle ORM
Type-safe queries
Redis 7.4
Cache & rate limiting
Model Fabric
Vercel AI SDK v6
Streaming & tool use
Groq + OpenAI
Multi-provider support
Qdrant
Vector embeddings
Neo4j 5.26
Graph relationships
Ops Mesh
Docker
One command setup
MinIO/S3
File storage
BullMQ
Background jobs
SearXNG
Privacy-first search
Interface Rail
Tailwind v4
Latest features
Shadcn UI
60+ components
React Email
Transactional emails
Trust Surface
Stripe
Industry standard
Better Auth
Magic links, OAuth, OTP
OpenTelemetry
Observability
Bonus 1
Landing Source Code
You get the exact landing implementation: sections, layout, styles, and motion. Clone it, update branding and copy, and ship faster.
Source Vault
Complete landing section system

Support Concierge
Nurlan Ibraev
Bonus 2
Discord Support
Get practical 9-5 help while setting up and shipping your first version: resolve blockers, validate implementation decisions, and move forward faster.
Direct access to Author
Ask implementation questions and get practical, actionable help.
9-5 support in Discord
Consistent support window to keep momentum during setup.
Setup and first-launch guidance
Hands-on direction for environment setup and early release steps.
Features Atlas
A live systems map of the production modules already wired in. Browse capabilities, inspect behavior, and jump straight to value.
Multi-provider support with zero code changes. Switch between Groq, OpenAI, DeepSeek instantly with automatic fallback and recovery.
This boilerplate does not just scaffold pages. It ships integrated systems for AI workflows, billing, memory, storage, background jobs, and observability so you can focus on product differentiation.
AI Chat and Memory Context
11 modular AI handlers and memory extraction pipeline
Build from scratch
Design and wire yourselfGeneric templates
Basic chat shellThis boilerplate
Orchestrated and production-readyDeep Research Workflow
Plan -> Search -> Select -> Scrape -> Reason flow
Build from scratch
Build agent loop from scratchGeneric templates
Usually not includedThis boilerplate
Integrated research engineArtifacts and Document Generation
Artifact creation, patching, export APIs and UI panels
Build from scratch
Build editor and APIsGeneric templates
Static templates onlyThis boilerplate
Create, patch, export flowsTranscription and Document Compare
/api/instruments/transcription and /api/instruments/compare
Build from scratch
Own ingestion and processingGeneric templates
Not availableThis boilerplate
Endpoints + UI flow in placeAuth and Access Modes
Better Auth with magic links, phone OTP, OAuth, guest support
Build from scratch
Implement sessions and edge casesGeneric templates
Single auth modeThis boilerplate
Multiple methods pre-wiredBilling and Usage Enforcement
Stripe checkout/portal/webhooks + usage tracking and limits
Build from scratch
Build payments and meteringGeneric templates
Checkout onlyThis boilerplate
Plans, limits, subscriptionsMemory and Retrieval Stack
Qdrant vectors + Neo4j graph + hybrid retrieval
Build from scratch
Integrate vector and graph storesGeneric templates
No true memory layerThis boilerplate
Pre-integrated memory architectureBackground Jobs and Async Work
BullMQ workers for indexing, transcription, and scheduled jobs
Build from scratch
Design queue orchestrationGeneric templates
No worker systemThis boilerplate
Queue and worker patterns includedStorage and File Pipeline
S3/MinIO storage with presigned upload URL flow
Build from scratch
Build secure upload pipelineGeneric templates
Local-only or basic uploadsThis boilerplate
Object storage workflow readyObservability
OpenTelemetry metrics and Pino structured logs
Build from scratch
Assemble telemetry stackGeneric templates
Minimal visibilityThis boilerplate
Tracing-friendly baselineLaunch-Ready Baseline
Modular packages for db, auth, billing, memory, jobs, storage, tracing, i18n
Build from scratch
Assemble system-by-systemGeneric templates
Patch major gaps before launchThis boilerplate
Integrated baseline to extendCore platform systems
Beyond a chat demo
Ops-ready foundations
Composable monorepo packages
Explore the monorepo through a signal-driven navigator. The layout keeps app boundaries and shared package ownership obvious as your codebase scales.
Data Layer
20+ tables
Agent Core
11 handlers
UI Surface
200+ components
Shared Modules
15+ packages
Build Engine
Turborepo
Core packages with clear ownership and production purpose.
@ai/db
stablePostgreSQL + Drizzle
@ai/auth
stableBetter Auth + OAuth
@ai/billing
stableUsage & Limits
@ai/stripe
stablePayments
@ai/memory
activeQdrant + Neo4j
@ai/jobs
activeBullMQ Workers
@ai/storage
stableS3/MinIO
@ai/ui
stable60+ Components
@ai/tracing
activeOpenTelemetry
@ai/email
stableReact Email
@ai/kv
stableRedis + Limits
@ai/i18n
stableEN + RU
This boilerplate is organized for humans and autonomous coding agents. Repository-level guidance in AGENTS.md combines with modular SKILL.md packages so tools can discover intent quickly, load deeper instructions only when needed, and execute project conventions consistently across Claude Code, Codex, OpenCode, and GitHub Copilot.
Project-level operating manual: architecture, workflows, constraints, and quality bars shared by every agent.
Real skill packages with executable workflows, and optional agent metadata aligned with the agentskills.io specification.
Each skill description is written for reliable implicit activation and clear scope boundaries.
Keep SKILL.md concise, then load references, scripts, and assets only when tasks need them.
Bundle repeatable scripts for fragile steps and keep most workflows instruction-first.
Use a standards-aligned folder shape that works across Codex, Claude, and other skill-aware agents.
Your launch baseline ships with crawl policy, canonical controls, sitemap generation, and schema support so discovery and ranking signals are already operational before feature growth begins.
Live indexing readiness
Operational
Core SEO signals are preconfigured.
Signal Radar
Control room onlineCrawlability
98/100Robots directives and sitemap pointer are configured.
Metadata Integrity
96/100Canonical, title, description, OG, and Twitter cards are aligned.
Mobile Readiness
97/100Responsive layout and viewport handling follow mobile-first rules.
Schema Coverage
94/100SoftwareApplication JSON-LD is in the homepage markup.
Outcome 1
Faster Index Discovery
Crawl entry points are explicit from day one.
Outcome 2
Richer SERP Appearance
Metadata and structured data improve interpretation.
Outcome 3
Mobile-First Signal Quality
Layout behavior matches mobile indexing expectations.
Outcome 4
Reliable SEO Operations
SEO config stays traceable as your product scales.
30+ real stories from solo builders and indie founders using this boilerplate to launch faster without sacrificing architecture.
"We moved from figma mockups to paying users in 11 days. Auth, billing, and AI chat were ready on day one."
Ana Perez
Founder · DraftPilot
Launched 3 weeks earlier
This is not a teaser template. You get the same architecture blocks used across the rest of this landing: AI orchestration, billing, memory, jobs, storage, and observability in one codebase.
27
Feature modules
6
Category groups
Lifetime
Access model
Core
Ship immediately
AI System
Production-ready orchestration
Memory & RAG
Persistent context layer
Auth & Billing
Monetization included
Infrastructure
Scale without rewrites
Support
Fast path when blocked