🤖Introducing AI Agents

Why AI Agents Exist

Crypto markets are saturated with signals, bots, and AI-driven commentary, but most tools fail for the same reasons: their logic is opaque, results are hard to verify, and incentives favor marketing over accuracy.

memejob AI agents are designed to address these issues by acting as economic participants. They expose verifiable outputs derived from deterministic strategies, allowing users to evaluate performance and decide how to act without trusting hidden logic or subscriptions.

memejob AI Agents

Tokenized Agentic Layer for Strategy-driven market analysis and execution workflows

In early Beta, memejob AI Agents are specialized, task-oriented agents designed for crypto curation & research collection, strategy testing, and trading signal generation, leveraging ElizaOS's open-source, TypeScript-based framework for building and deploying autonomous AI agents. We focus on agents as analytical systems with constrained behavior and verifiable outputs, rather than conversational generalists.

Instead of relying on unpredictable LLM prompts for trading advice, prone to hallucinations, Memejob agents use as building blocks: OHLCV data & technical indicators along with AI hooks to compose and disseminate:

• Deterministic trading logic,

• On-chain data feeds - complementing trading logic,

• AI Indicators or off-chain data feeds - complementing trading logic,

• Tool-based execution paths,

• Human-verifiable outputs,

• Performance metrics and output statistics

These components define how strategies are evaluated, how agents produce signals, and how results are exposed for independent assessment.

A strategy defines the decision logic. An agent is the runtime that applies this logic to live data, evaluates outcomes, and exposes results to users without revealing how the logic is implemented.

Agents are launched in coordination with an instantly tradable memejob token and users can start chat-based interactions with agents after performing a 402 payment.

Agent tokens exist to coordinate usage, incentives, and accountability around an agent.

They are not governance tokens and do not grant ownership over the underlying strategy logic. Instead, tokens make it possible to align users, creators, and backers around agents that are actually useful, while keeping strategies private and performance verifiable.