GaiaEx
10 сабақтың 7-і
beginner6 minТест қосылған

AI Foundations

AI Agent Workflows

Neural networks, LLMs, and machine learning for markets.

Updated 2026 ж. 21 қаз.GaiaEx Academy Editorial

Бұл сабақта

  • What makes an AI workflow an agent
  • Where humans should stay in the approval loop

Негізгі тұжырымдар

  1. 1Agents combine a model with tools, context, and action rules
  2. 2Automation needs boundaries, logs, and fallback behavior
  3. 3Human approval should remain around money-moving actions

Сабақ қорытындысы

An AI agent workflow is more than a chat prompt.

Mental model

AI Agent Workflows, without the jargon

An AI agent workflow is more than a chat prompt. It combines a model with tools, context, memory, permissions, and rules for when actions can happen.

  • What makes an AI workflow an agent
  • Where humans should stay in the approval loop

Mechanics

How to reason about AI agent workflows

The model interprets the task and chooses or calls tools.

Context and memory shape what the agent knows about prior work.

Guardrails define which actions require human approval or must be blocked.

  • Agents combine a model with tools, context, and action rules
  • Automation needs boundaries, logs, and fallback behavior
  • Human approval should remain around money-moving actions

Example

AI Agent Workflows in practice

A research agent can gather protocol docs, summarize risks, and prepare a watchlist, while a human approves any trade or wallet action separately.

Есте сақтаңызDecision rule: Start agents with read-only research tasks, then add permissions only when logs and approvals are clear.

Common mistakes

How AI agent workflows trips learners up

Giving an agent broad permissions before defining failure modes is backwards. The workflow should be constrained before it becomes useful.

Risk notes

Before you rely on AI agent workflows

Tool misuse, prompt injection, stale context, hidden assumptions, and runaway loops can create bad research or unsafe automation.

  • Define allowed tools.
  • Require approvals for actions.
  • Log every material step.

Practice

Turn AI agent workflows into a habit

  • Define allowed tools.
  • Require approvals for actions.
  • Log every material step.

Қайталау

Негізгі терминдер

Wallet
Software or hardware that stores the private keys controlling your on-chain assets.
AI Agent
Software that pursues goals autonomously, increasingly used in crypto tooling.
Machine Learning
Algorithms that learn patterns from data instead of being explicitly programmed.
Large Language Model (LLM)
An AI model trained to predict and generate text from context.
Backtesting
Testing a strategy on historical data before risking real capital.

Дерек көздері

Редакциялық сілтемелер

Бұл сілтемелер осы сабақтың артындағы механизмдерді, тәуекел тексерулерін және өнім контекстін растау үшін бастапқы нүктелер болып табылады.

NISTAI Risk Management FrameworkReference for identifying, measuring, and managing AI system risk.OWASPOWASP Top 10 for LLM ApplicationsReference for prompt injection, insecure output handling, excessive agency, and other LLM risks.GaiaEx DocsGaiaEx trading API docsProduct reference for GaiaEx market data, order flow, and account-facing trading surfaces.GaiaEx DocsAPI security best practicesProduct reference for signing, keys, allowlists, and operational security.

Жалғастырмас бұрын

Мұны орындай аласыз ба?

  • Define allowed tools.
  • Require approvals for actions.
  • Log every material step.

Байланысты оқу материалдары

Оқуды жалғастыру

Келесі сабақPrompting for Market ResearchAI Unlocked: Agents and Skills course pathАлдыңғы сабақBacktesting AI StrategiesAI Unlocked: Agents and Skills course pathЖолды шолуAI Unlocked: Agents and Skills10 lessonsСөздікWallet and related terms5 terms from this lesson

Checkpoint

Бұл сабақты аяқтау

Прогресті сақтау үшін тексеруден өтіңіз, содан кейін жолды ретпен жалғастырыңыз.

Білімді тексеру

Бұл сабақты бекіту

Сабақты аяқтау үшін барлық сұрақтарға дұрыс жауап беріңіз.

1 / 2

An AI agent workflow combines…

Алдыңғы сабақBacktesting AI StrategiesКелесі сабақPrompting for Market Research
Толық оқу бағдарламасын қарау