Tana Commands Mastery (by Fis Fraga)

The entire course is offered as a completely free YouTube course, as the knowledge is considered important and should be available for every Tana user. To support the creator's work and gain additional resources, users can purchase the interactive learning kit at a symbolic price.

The course is designed to be watched in sequence, starting from a beginner level and progressing towards more advanced features. However, users are free to go back and forth or skip ahead based on their curiosity

Core Content Highlights

The course provides comprehensive coverage of Tana's automation features, including:

1. Tana Commands Fundamentals
   A command is an action you design or program for Tana to execute. They offer a powerful way to automate annoying routine actions. The course details the core structure of commands, composed of the custom command, the system command (preconfigured actions/building blocks), parameters, and values.
2. Running Commands
   Commands can be executed in three primary ways: using buttons next to a node, through the powerful command line (accessible via Command K), or automatically using triggers based on specific events (e.g., when a tag is added or removed, or a checkbox is checked).
3. AI Integration (Ask AI)
   A significant portion covers the advanced application of the ask AI system command, which sends customizable prompts to Large Language Models (LLMs) to generate repeatable outputs within Tana.
4. Structured Output (Tana Paste)
   Users learn the Tana Paste syntax, a critical skill for instructing AI models on how to format results (such as plain text, super tags, references, and fields) into structured Tana data in one go.
5. Tana Agents and Dynamic Memory
   The course introduces Tana Agents, which function as a powerful blend of structured prompts and the conversational flexibility of chats. The instruction includes building agents using the V6 framework, adding specific knowledge, and configuring dynamic self-improving memory by feeding personalized knowledge (like vocabulary lists or common mistakes) back into the agent via search nodes and commands.
6. Voice Features and Command Chains
   The curriculum demonstrates the integration of voice functionalities, such as voice memos and audio fields, often combined with command chains that fluidly sequence actions involving AI commands and agents to achieve complex workflows.

Cuong Thach

Co-founder BrainNodeOS.com and founder at ghostFam.com

Vietnam

cuongthach.com/en