SPEC, OLAS, PRIME, PROMPT: Unveiling The Agent Economy
Build your own AI agent with just a few line of text
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AI has been moving rapidly - GPT-4o, Rabbit R1, Devin AI - all sorts of tools to help us improve our lives by enlightening us with answers. This is what AI agents, which are sophisticated software with remarkable problem-solving and task execution abilities, and human-like interaction skills, are capable of.
With billions of dollars being poured into the web2 AI landscape, e.g. Scale AI $1 billion Series F, within the web3 space, we see a similar cambrian explosion in AI projects:
In particular, AI agents and adjacent projects have begun to receive significant funding in the range of millions. With so much attention being attracted to this market, this report delves into
What are 'AI agents’?
Significance of blockchain technology in advancing AI agents
Understanding web3 AI agent creation frameworks - Spectral, Autonolas, Wayfinder
Exploring the limitations and potential of web3 AI agents
Decoding AI Agents - What Are They?
First off, elephant in the room, what are AI agents? AI agents are software programs that are designed to perform tasks autonomously with little to no external human input. This is achievable as the AI agent can analyse data in its environment and change its course of actions accordingly to reach a certain goal.
Definitive Characteristics of AI Agents
These are the key characteristics an AI agent has:
Autonomy: Operate independently without external human intervention
Reactivity: Ability to assess the environment and analyze data
Decision Making: Process information and make decisions to achieve goals
Learning: Improve performance over time through a suite of techniques, including deep learning, reinforcement learning, and others
We have all interacted with various kinds of AI agents in our day-to-day lives. Whether it be Notion AI tidying up data, or Fireflies.ai helping to take meeting notes, these AI agents differ in the level of autonomy they possess.
