# initializ AI Platform documentation > Documentation for the initializ AI Platform (AIP) — build, deploy, and govern AI agents and multi-agent workflows in your own environment. ## Overview - [Overview](https://docs.initializ.ai/docs): Documentation for the initializ AI Platform — build, deploy, and govern AI agents and workflows. - [Ask AI and machine-readable docs](https://docs.initializ.ai/docs/ask-ai): The Ask AI assistant, the MCP endpoint for AI clients, and the machine-readable doc surfaces (llms.txt, markdown routes). ## Getting started - [Getting started](https://docs.initializ.ai/docs/getting-started): Sign in to the console, learn the ask box and command palette, and understand workspaces before you build your first agent. - [First login](https://docs.initializ.ai/docs/getting-started/first-login): The forced onboarding flow for the first organization admin — create the in-cluster environment, then the first workspace. - [Workspaces and environments](https://docs.initializ.ai/docs/getting-started/workspaces-and-environments): How workspaces scope your work, how environments define where workloads run, and what org and workspace roles mean. - [Your first agent](https://docs.initializ.ai/docs/getting-started/your-first-agent): A short guided path — create an agent, watch it build, try it in a chat session, and read its activity trail. ## Agents - [Agents](https://docs.initializ.ai/docs/agents): What an agent is on the initializ AI Platform — skills, model provider, channels, policies, and guardrails, deployed into a workspace. - [Creating an agent](https://docs.initializ.ai/docs/agents/creating-an-agent): Create an agent in the console — start from a catalog skill or describe one in plain English, then configure the name, model, variables, and channels. - [Building and deploying](https://docs.initializ.ai/docs/agents/building-and-deploying): What happens after you create an agent — build progress, live logs, health states, and the failure diagnostics surfaced in the console. - [Skills](https://docs.initializ.ai/docs/agents/skills): The skill catalog, the conversational skill builder, and how to edit a deployed agent's skill. - [Channels and providers](https://docs.initializ.ai/docs/agents/channels-and-providers): How an agent is reached — HTTP and Slack channels — and how each agent's model provider is selected and managed. - [Policies and guardrails](https://docs.initializ.ai/docs/agents/policies-and-guardrails): The egress allowlist and security policies that govern an agent, and how to fix a policy denial. - [Secrets and environment](https://docs.initializ.ai/docs/agents/secrets-and-environment): How agent environment variables and secrets work — write-only values, rotation without a rebuild, and what the skill owns. - [CI-deployed agents](https://docs.initializ.ai/docs/agents/ci-deployed-agents): Deploy a pre-built agent image from your own CI pipeline, and what "managed by CI" means in the console. - [External agents](https://docs.initializ.ai/docs/agents/external-agents): Register a bring-your-own agent by URL — the platform reads its A2A card, stores its credential sealed, and makes it available to workflows. - [Agent runtime](https://docs.initializ.ai/docs/agents/runtime): What runs inside every deployed agent - skills, tools, channels, and a baked-in security policy. - [Skills and tools](https://docs.initializ.ai/docs/agents/runtime/skills-and-tools): How skills package instructions and tools, what built-in tools every agent has, and how the agent chooses what to use. - [Egress control](https://docs.initializ.ai/docs/agents/runtime/egress-control): Deny-all-by-default outbound networking with a per-agent domain allowlist, enforced in layers. - [Approvals](https://docs.initializ.ai/docs/agents/runtime/approvals): Pause sensitive tool calls and route them to a human approver, with an automatic deny on timeout. - [Memory and scheduling](https://docs.initializ.ai/docs/agents/runtime/memory-and-scheduling): How agents keep multi-turn conversations coherent, remember across sessions, and run on a schedule. - [Audit events](https://docs.initializ.ai/docs/agents/runtime/audit-events): Every agent emits structured security events - tool calls, egress decisions, quota denials - that surface in the platform's Security area. ## Workflows - [Workflows](https://docs.initializ.ai/docs/workflows): Compose agents into multi-step workflows — plan from a goal, run, monitor each step, and share. - [Planning a workflow](https://docs.initializ.ai/docs/workflows/planning-a-workflow): Create a workflow from a plain-language goal, review the proposed pipeline on the canvas, and save it. - [Running and monitoring](https://docs.initializ.ai/docs/workflows/running-and-monitoring): Start workflow runs with inputs, follow per-step progress live, and diagnose failed executions. - [Agents in workflows](https://docs.initializ.ai/docs/workflows/agents-in-workflows): Which agents can participate in a pipeline, what happens when one is removed, and how scheduled runs work. - [Sharing](https://docs.initializ.ai/docs/workflows/sharing): Share a workflow with teammates by email, list who it is shared with, and revoke access. ## Security - [Security](https://docs.initializ.ai/docs/security): Audit events, security policies, posture, and usage quotas for every agent and workflow on the platform. - [Security events](https://docs.initializ.ai/docs/security/events): The audit event stream emitted by every agent and workflow, event naming conventions, notable event types, and the Events screen. - [Policies](https://docs.initializ.ai/docs/security/policies): Org-level and workspace-level security policies, the effective policy resolution, versions and rollback, and how changes reach running agents. - [Posture](https://docs.initializ.ai/docs/security/posture): Enforcement trends over a time window — block rate, top policy rules, quota hits, top agents by denial, and dead-rule analysis. - [Usage and quotas](https://docs.initializ.ai/docs/security/usage-and-quotas): Token and execution metrics on the Usage screen, and windowed token quotas that gate agent invocations at admission time. ## Gateway - [Gateway](https://docs.initializ.ai/docs/gateway): The Gateway area of the console manages how agents reach language models and external tool servers. - [Model routing](https://docs.initializ.ai/docs/gateway/model-routing): How agent model calls are routed — the platform's LLM endpoint, the provider and model set offered at agent creation, and what the Gateway screen manages. - [MCP servers](https://docs.initializ.ai/docs/gateway/mcp-servers): External tool servers agents can use — what the Gateway screen manages, and how tools become available to agents today. ## Organization - [Organization](https://docs.initializ.ai/docs/organization): Org-level administration — members and roles under Settings, and API tokens for CLI and programmatic access. - [Organization settings](https://docs.initializ.ai/docs/organization/settings): Manage organization membership — invite users by email, assign org or workspace roles, and find your org ID. - [API tokens](https://docs.initializ.ai/docs/organization/tokens): Long-lived organization tokens for CLI and programmatic access — create them with a role and scope, copy once, revoke instantly. ## Cli - [CLI](https://docs.initializ.ai/docs/cli): The initializ CLI for CI pipelines — deploy CI-built agent images, rotate agent secrets, and inspect deploys from your pipelines. - [auth](https://docs.initializ.ai/docs/cli/auth): Authenticate the initializ CLI — store a platform access token with auth login, or verify it server-side with auth whoami. - [agent deploy](https://docs.initializ.ai/docs/cli/deploy): Deploy a CI-built agent image to the initializ AI Platform — the deploy spec, forge.yaml and build-output inputs, env var interpolation, and --wait semantics. - [agent](https://docs.initializ.ai/docs/cli/agent): Inspect deployed agents and rotate their secrets with the initializ CLI — agent list, get, logs, and secrets set. ## Deployment - [Deployment](https://docs.initializ.ai/docs/deployment): Deployment targets and prerequisites for running the initializ AI Platform. - [Deployment targets](https://docs.initializ.ai/docs/deployment/targets): Supported environments for running the initializ AI Platform. - [Prerequisites](https://docs.initializ.ai/docs/deployment/prerequisites): What your environment needs before installing the initializ AI Platform.