500 practical guides for the next wave of AI companies.

Coordinates multiple models, tools, permissions and automated workflows.

Lets ai systems call external tools, data sources and business services.

Navigates websites and completes online workflows for users.

Writes, reviews and deploys software with varying levels of autonomy.

Contacts prospects, drafts offers and updates crm systems.

Answers customers and may take service actions such as credits or account changes.

Conducts real-time spoken conversations for sales, support or operations.

Initiates or recommends purchases and payments under delegated authority.

Sources vendors, negotiates workflows and creates purchasing actions.

Retrieves private company information to ground model responses.

Stores and retrieves embeddings used by ai applications.

Tests models for safety, accuracy, security and policy failures.

Monitors model inputs, outputs, traces, costs and failures.

Serves production model inference through cloud or api infrastructure.

Provides accelerated compute for model training and inference.

Creates artificial datasets for model development, testing or privacy goals.

Models physical assets, facilities or operations to support decisions.

Builds or operates general-purpose robots around people and property.

Patrols physical sites using cameras, sensors and automated navigation.

Coordinates multiple robots, missions, updates and remote interventions.

Supports or controls commercial vehicle movement and logistics.

Plans and executes package delivery flights.

Scores transactions or accounts for suspected fraud.

Uses documents, biometrics and behavioral signals to verify people.

Detects threats and may take automated defensive actions.