Anamap Learning Center
Learn how Cartos fits into your team’s real workflow.
Start with the operating model, then move into prompting, AI tuning, data structure, and integration setup. The goal here is faster clarity, not a wall of articles.
Foundational ideas for shaping your data model and giving Cartos better context.
Why Data Context Matters for AI
How adding Attributes, Events, and Views improves Cartos AI results and recommendations.
Attributes
All of the information you need to understand how to create, update, and delete Attributes for Anamap.
Events
All of the information you need to understand how to create, update, and delete Events for Anamap.
Views
All of the information you need to understand how to create, update, and delete Views for Anamap.
How To Structure Your Data
There are many ways to structure the data you collect. Learn which strategy might work you.
How to prompt, guide, and operationalize Cartos across chat, outreach, and review loops.
How to Prompt Anamap AI: Practical Guide
A short, practical guide to writing prompts that get fast, accurate, and actionable results from Cartos AI.
AI Tuning: Memory, Learnings, and Approval Workflow
How AI Tuning works in Anamap, including Cartos memory, onboarding context, schema learning, confidence thresholds, approval workflow, and auto-apply settings.
Interacting with Cartos: Chat, Email, Slack, and Better Context
How to work with Cartos across the web app, email, and Slack, how recipient routing works, and what teams can do to help Cartos learn faster and produce stronger output.
Configuration guides for Company Settings, release triggers, and connected systems.
Company Settings: Configure Cartos, Integrations, and Webhooks
A practical guide to the Company Settings page, including Cartos schedule controls, timezone selection, release webhook tokens, Google Analytics, and Amplitude setup.
Cartos Release Trigger: Setup & Requirements
How to trigger Cartos from CI/CD release events, required headers, payload shape, and token setup.