# How to Vibe Code Your Own ArtificialWatch (and Stop Paying for It)

> Know the minute a new AI model drops

- Site: https://artificialwatch.com
- Category: AI Monitoring & Alerts SaaS
- Verdict: **Solid side project** (68/100 vibecodeable)
- Estimated effort: 2-4 weeks of focused development

## Verdict

Build it yourself as a solid side project, but expect real debugging friction around reliable cron scheduling, telephony call loops, and provider rate-limit handling.

The core of ArtificialWatch is an API poller running on a tight cron loop coupled with notification dispatchers. While Next.js, a serverless SQLite database, and Resend make the CRUD and email parts trivial, setting up outbound telephony calling loops ('rings until answered') and ensuring your 60-second background workers don't get throttled or trigger false alarms will test your backend mettle. If you only want a personal notification bot for your own use, you can build a lightweight version in a couple of weekends; running it as a bulletproof multi-tenant SaaS requires significantly more polish.

### What you can't replicate

- Existing community trust and brand recognition
- Instant real-time crowdsourced reporting speed

## What it does

An automated monitoring and notification SaaS that tracks the release of new foundation AI models and feature updates across major AI labs via rapid API sweep checkers and multi-channel alert routing.

### Core features

- API polling engine checking major LLM provider endpoints every 60 seconds
- Two-sweep confirmation loop to eliminate false alarms
- Multi-channel routing for Email, Chrome Push, SMS, and Voice Calls
- Subscription and pricing drift watch across commercial AI apps
- Prediction market embedding (Polymarket and Manifold odds)
- Model status radar and benchmark history dashboards

## The business

### Pricing

- Free: $0 forever
- Signal: $12/mo
- The Call: $19.99/mo
- The Watchtower: $34.99/mo

Founded 2026.
Team size: 1.

## The hard parts

- Reliable 60-second polling cron infrastructure across dozens of shifting provider endpoints without rate limits or false positives
- Telephony integration for outbound persistent calling loops ('rings until answered') with proper retry logic
- Constant data maintenance tracking volatile AI model naming conventions and unannounced endpoint updates

## How to vibe code ArtificialWatch

### Prerequisites

- Node.js (free): Required runtime for executing the Next.js framework and server scripts.
- GitHub (free): Source control and automated deployment trigger for your hosting platform.
- Twilio Account (Pay-as-you-go): Required for SMS dispatch and automated outbound calling features.

### Recommended AI tools

- Claude Code: Best-in-class coding agent for scaffolding multi-file apps, writing background cron routines, and handling complex debugging loops.
- Cursor: Ideal AI code editor for fine-tuning UI layouts, dashboard components, and inline diff reviews.

### Stack

- Frontend: Next.js (App Router, Tailwind CSS, shadcn/ui)
- Backend: Next.js API routes with Cloudflare Workers / Cron Triggers
- Database: Turso (libSQL/SQLite at the edge)
- Auth: better-auth
- Payments: Stripe
- Other: Resend for transactional emails, Twilio for SMS and Voice calls, Upstash Redis for rate-limiting and cron state management

### Hosting

- Cloudflare (Hosting the Next.js frontend, API endpoints, and scheduled cron triggers executing the 60-second sweeps): $0-5/mo

### Build guide

1. **Project Scaffolding and Database Schema** — Initialize a Next.js project with Tailwind CSS and shadcn/ui, configure Turso for SQLite storage, and set up better-auth for user authentication.

```
Create a new Next.js project configured with TypeScript, Tailwind CSS, and App Router. Set up Turso database connectivity using Drizzle ORM or Prisma with a schema containing tables for 'users', 'watched_models', 'alerts', and 'sweep_logs'. Implement better-auth for email/password and magic link authentication. Ensure clean directory structure for API routes and dashboard views.
```

2. **API Poller & Two-Sweep Confirmation Engine** — Implement the core background cron worker that queries major AI provider endpoints every 60 seconds with a double-confirmation mechanism.

```
Build a robust background cron job or Cloudflare Worker scheduled to run every 60 seconds. This worker must poll designated public model endpoints for OpenAI, Anthropic, Google Gemini, and xAI. Implement a two-sweep confirmation state machine: if a model endpoint returns a new identifier or status change, store a tentative flag and require a second successful verification sweep before flagging it as officially live to prevent false alarms.
```

3. **Multi-Channel Notification Dispatcher** — Integrate Resend for emails, Web Push API for browser notifications, and Twilio for SMS and phone calls.

```
Create a notification dispatch service that triggers when a model launch is confirmed by the polling engine. Integrate Resend for transactional email alerts, Web Push API for browser notifications, and Twilio REST API for sending SMS messages. Implement per-user preference filtering so alerts respect custom model watchlists and quiet hours.
```

4. **Persistent Outbound Voice Call Loop** — Configure Twilio voice webhooks to initiate automated phone calls that ring until acknowledged.

```
Implement an advanced telephony routing module using Twilio Voice. When a high-priority model drop occurs for users subscribed to 'The Call' tier, trigger an outbound call with TwiML instructions that loops and repeats an automated text-to-speech announcement until the recipient presses a digit to acknowledge or answers.
```

5. **Dashboard UI, Radar, and Prediction Markets** — Build the frontend dashboard displaying live model statuses, prediction market odds, and user alert settings.

```
Build a responsive dashboard interface with Tailwind CSS and shadcn/ui featuring: (1) A 'Model Radar' table showing live and upcoming model drops with timestamps, (2) A 'Wire' feed of recent changes, (3) Embedded Polymarket/Manifold odds widgets fetched via public APIs, and (4) Settings panels allowing users to manage their watchlists and notification channel preferences.
```

### Cost vs paying

**Starting costs (one-time):**

- Custom domain: $12 one-time
- Twilio phone number and initial credits: $20 one-time
- AI coding tool subscription: $20 one-time
- Total: ~$52 one-time

**Ongoing costs (monthly):**

- Hosting & Database (Cloudflare + Turso): $0-5/mo
- Twilio SMS & Voice usage: Pay-as-you-go (~$5-15/mo)
- Total: ~$5-20/mo

- Paying for the SaaS instead: $19.99/mo (The Call tier)
- Build time: 40-60 hours
- AI tool credits: ~$20 (Claude Pro / Cursor Pro)
- Break-even: 1 month of build vs buying The Call tier

## Sources

- [ArtificialWatch Homepage & Core Product Features](https://artificialwatch.com)
- [ArtificialWatch Roadmap & Architecture Scope](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGHcvqMJ4bhi0pV4gedxv7mDSHV6EuoMyBmWOcQoIRRt0LFRSbn_wSEMnZ_c70TyBYNkmjQ0JwroJFHnKmSz2Cv0AASVzaArS0kWu3HLSYTIJ9d6vipy6-RYCQdaeyi)