THE PLATFORM
Intelligence at every layer — from control plane to data plane.
finalmilestack.ai is eight integrated services built as a single platform. Each layer has one job. Together they take a user's intent and turn it into verified, audited action.
HOW IT WORKS
A request flows through eight layers. Every step is logged.
ChatAIAgent
User states intent in natural language. Contextual UI adapts to the session.
AgentGateway
JWT validation, session creation, context budget enforcement, full audit trail.
AgentGuardrails
Policy enforcement on every LLM call and tool invocation. Blocks unsafe execution.
AgentCore
LangGraph stateful agent. Classifies intent, builds a grounded DAG plan, validates tool schemas.
RegistryService
Tool contracts, schemas, playbooks, credential injection. Only real tools. Only valid parameters.
DiscordBridge
Datadog alarm → Discord alert → one-tap agent investigation → one-tap approval → executes.
AgentEvals
Behavioral analysis, quality metrics, drift detection. Eval traces feed model fine-tuning.
BillingService
Meters agent runs and LLM token consumption. Metering as platform infrastructure.
Eight services. One platform.
SERVICE DETAILS
ChatAIAgent
INTENT LAYER
The entry point for every user interaction. Renders a contextual chat interface that adapts based on what the user needs in the moment. Connects to AgentGateway over a secure WebSocket session.
AgentGateway
CONTROL PLANE
The authentication and session layer. Validates JWT tokens, enforces context budgets, routes requests to AgentCore, and writes a full audit trail of every action taken.
AgentGuardrails
SAFETY LAYER
Intercepts every LLM call and tool invocation. Enforces policy rules before execution reaches your systems. Built into the execution path — not bolted on after the fact.
AgentCore
PLANNING ENGINE
The brain of the platform. A LangGraph stateful agent that classifies user intent, builds a directed acyclic plan, and validates every step against real tool schemas before dispatching.
RegistryService
DATA PLANE
The source of truth for what the agent can do. Stores versioned tool contracts, JSON schemas, playbooks, and credential references. The LLM can only plan with tools that exist and parameters that are valid — hallucination is structurally impossible.
DiscordBridge
ON-CALL INTEGRATION
Connects Datadog alarms to the agentic execution pipeline. A firing alert creates a Discord notification. One tap triggers an agent investigation. Agent proposes a remediation plan. One tap approves and executes. No VPN. No terminal.
AgentEvals
EVALUATION
Continuous behavioral analysis of every agent run. Tracks quality metrics, detects drift, flags anomalies. Evaluation traces feed back into the SLMPlatform for model fine-tuning.
BillingService
ROI & METERING
Meters agent runs and LLM token consumption per tenant. Generates usage reports and ROI analytics. ISVs building on the AgentCore SDK inherit this metering infrastructure automatically.
PLATFORM PROPERTIES
Designed for production. Not a demo.
Schema-grounded planning
The planning engine validates every tool call against real schemas in RegistryService before execution. The LLM cannot invoke tools that don't exist or pass invalid parameters.
Two-gate human approval
Every production change passes through two hard interrupt gates. The agent proposes a plan — a human approves before execution begins, and again before any irreversible action is taken.
Full audit trail on every run
AgentGateway writes a timestamped log of every intent, plan step, tool invocation, approval event, and outcome. Compliance and forensics built in.
Want to see the platform in action?
We run live demos against real infrastructure. See the full stack — from a natural language request to an executed action with a full audit trail.