feat: release Vibeflow n8n v0.6.0

This commit is contained in:
Felipe Domingues 2026-04-12 13:43:57 -03:00
parent 097f35215f
commit 260d447f40
15 changed files with 435 additions and 56 deletions

View file

@ -0,0 +1,48 @@
# Recipe: AI Lead Enrichment
## Goal
Capture a new inbound lead, enrich the company context, generate a short structured summary, score the lead using simple rules, and write the result to the CRM.
## Typical trigger
- new CRM lead
- form submission
- webhook from a landing page
## Systems involved
- CRM such as HubSpot or Pipedrive
- enrichment source such as Clearbit-like data or internal lookup
- optional LLM step for summarization
- Slack for alerts
## Core steps
1. Receive the lead payload.
2. Normalize fields such as company name, email domain, and source.
3. Query enrichment data.
4. Generate a concise structured summary.
5. Apply a scoring rule based on company size, geography, and source.
6. Update the CRM record.
7. Notify Slack if the lead crosses a threshold.
## Important assumptions
- scoring starts with safe defaults
- enrichment can fail without blocking the whole workflow
- missing optional fields should not break CRM updates
## What makes this recipe good for demos
- shows practical AI usage
- stays grounded in business logic
- produces an output people immediately understand
## Validation checklist
- lead payload is parsed correctly
- enrichment failures are captured clearly
- summary format is stable
- score thresholds are visible and editable
- CRM update succeeds even when optional data is missing

View file

@ -0,0 +1,47 @@
# Recipe: Slack to Notion Triage
## Goal
Capture important Slack mentions, classify them, create a Notion item for tracking, and route urgent cases to an escalation channel.
## Typical trigger
- mention of a bot in Slack
- reactions on flagged messages
- specific channel messages matching a pattern
## Systems involved
- Slack
- Notion
- optional AI classification step
- optional email or secondary Slack alert
## Core steps
1. Listen for the configured Slack trigger.
2. Normalize message text, author, channel, and timestamp.
3. Classify urgency and category.
4. Create a Notion page or database item.
5. Route urgent messages to an escalation destination.
6. Write a final status field for reporting.
## Important assumptions
- urgency rules should be explicit and editable
- Notion database schema is known or mapped in advance
- Slack formatting should be simplified before storage
## What makes this recipe good for demos
- looks modern and relatable
- easy to understand visually
- strong before-and-after story from message to tracked item
## Validation checklist
- trigger fires only for intended messages
- urgency logic is deterministic
- Notion fields are mapped correctly
- urgent path and normal path both succeed
- duplicate handling is defined