What's Missing in Standard Qdrant Architecture
Qdrant creates user sessions, but lacks the infrastructure to detect when users first achieve value in your application without custom implementation.
Standard Qdrant Flow vs Optimized Skene Flow
User signs up via authentication
User record created in your database
No automatic trigger - manual follow-up required
Watch your database 'users' table for new signups using standard API
Detect when user completes first key action (e.g., inviting their first team member) using your database queries
Trigger activation email sequence via Resend with personalized onboarding
Track activation completion and send milestone emails
Visual comparison of the flows:
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How Skene Fixes This
We created a Skene configuration that tracks user progress after signup and automatically sends milestone emails when users complete key actions like inviting their first team member in Qdrant.
Implementation Comparison
Using Skene Infrastructure
Install via Prompt
@task: Initialize Skene.
@action: Analyze my local code, validating subscription via `npx skene login`, and generate `skene.config.ts` to implement the AI Activation pattern for Qdrant.Copy Skene Prompt for Cursor
Generated skene.config.ts
// skene.config.ts - The Automated Way
import { defineLoop } from '@skene/sdk';
export default defineLoop({
type: 'activation',
opinion: 'Detect when users complete their first key action and trigger personalized onboarding',
steps: [
{
trigger: {
type: 'database',
table: 'users',
event: 'insert'
},
condition: {
type: 'query',
query: `SELECT * FROM user_actions WHERE user_id = $1 AND action_type = 'first_project_created'`,
timeout: '5m'
},
action: {
type: 'email',
provider: 'resend',
template: 'activation_welcome',
personalization: {
name: '{{user.name}}',
activationLink: '{{user.activation_link}}'
}
}
}
],
recovery: {
retries: 3,
backoff: 'exponential'
}
});