An AIRbot is a purpose-built, self-contained AI agent developed for a defined role or task, such as an Instagram agent, social-media agent, financial-planning agent, support agent, research agent, or procurement agent.

AIRbot: A registered, versioned, purpose-built AI agent with predefined tasks, skills, workflows, input requirements, output requirements, model policy, security controls, credential-protection rules, governance requirements, an A2A Agent Card, declared deployment methods, and immutable verification of each approved version.
The predefined jobs it may execute.
Tools, APIs, MCP servers, functions, knowledge interfaces, and internal capabilities.
Controlled execution paths.
airbots is launching Late 2026
Required/optional inputs, types, validation, and constraints.
Response schemas, artifacts, side effects, and result requirements.
Model-agnostic or model-specific requirements.
Permissions, isolation, network policy, data handling, and execution restrictions.
Credential requirements and secure runtime injection; secrets are never embedded.
Approval gates, audit requirements, restricted actions, retention, and policy rules.
Agent-to-agent discovery and interoperability metadata.
e.g. Vercel, Cloudflare Worker, container, Kubernetes, managed runtime, private enterprise runtime.
Cryptographic digest identifying the exact reviewed artifact.
Persistent AIRbot identity and version history.
Scan/validation evidence and verified badge bound to one exact version/digest.
Operational history, incidents, ratings, and trust signals maintained separately from verification.