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AI Agents

An AI agent is a software program or system that can perceive its environment, process that information, and take actions to achieve specific goals.

Multi-Agent Workflows: AI agents are designed to operate with some degree of autonomy, making decisions and taking actions based on their observations, knowledge, and programming.

Once the market realizes they aren't memecoins, but software companies with their own attention bootstrapping mechanisms in a new vertical, then the relative comps get much higher - Ansem

Engineering​

Jobs to be Done​

Use jobs to be done analysis to determine what products could you recruit to streamline traditional business roles to free up human resources to tackle more valuable tasks that require deep thought and imagination.

Characteristics​

Key characteristics of AI agents include:

  • Perception: AI agents can perceive their environment through sensors or input data. This could involve visual perception, audio input, sensor data, etc.
  • Knowledge Representation: Agents have a knowledge base that represents information about the world, goals, constraints, and potential actions.
  • Reasoning: Agents use reasoning mechanisms to process their observations, existing knowledge, and goals to decide what actions to take.
  • Planning and Acting: Based on their reasoning, agents plan a sequence of actions to achieve their goals and then carry out those actions through effectors (output mechanisms).
  • Learning: Many AI agents have the ability to learn from experience and adapt their behavior over time to improve performance.

Prompt Format​

Basic interaction with AI, need to build agents to do anything really valuable.

The five most important components of engineering a prompt for an AI Agent are:

  1. Model
  2. Purpose
  3. Variables
  4. Examples
  5. Output

See Prompt Engineering

Open Source Code​

Attachments​

Frameworks​

Search APIs​

Essential search APIs for building AI agents:

YouTube Creators​

Social​