Whole systems,
step by step.

A nine-part guide to building a searchable operating memory for your company with n8n: from meeting notes to permission-aware RAG, approvals and evaluation.

1. 01 Automate meeting notes to owned tasks with n8n
2. 02 Build a searchable operating memory for your company
3. 03 What should stay in Drive, Notion, Slack, GitHub and Linear?
4. 04 Notion Enterprise Search or custom RAG: buy, connect or build?
5. 05 Index company documents without duplicates or stale answers
6. 06 Automate client-ready status updates from Linear, GitHub, Slack and Notion
7. 07 When should your company AI answer, draft, request approval or execute?
8. 08 Who can search what? Permission-aware company knowledge
9. 09 Test freshness, retrieval, failures and business value

A five-part guide to four AI automations IZZY runs for clients: an activation funnel, a startup pre-screening workflow, a content publication framework and post-migration Search Console reporting, with their controls and limits.

1. 01 Four AI automations already running in real operations
2. 02 This funnel was never manual: automate acquisition from day one
3. 03 From days to minutes: an AI-assisted startup pre-screening workflow
4. 04 The article is approved. Why is it still not published?
5. 05 After a site migration: automated Search Console reporting under SEO control

A four-part guide for commercial and product leaders deciding whether a business needs a ChatGPT app: website, feed or app, the business case, how to compare quotes, and what a release must prove.

1. 01 Website, product feed or ChatGPT app: which does your business need?
2. 02 An app inside ChatGPT: when does it make sense for your business?
3. 03 What should a ChatGPT app cost? Compare the quote before the price
4. 04 How to build a ChatGPT app that can survive a real customer action