01AI & automation

Agentic Command Center & Webverse

Client: Antigravity AI Systems & TheWebVale Labs

Multi-Agent AI Control Plane

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Case Study

Agentic Command Center & Webverse

AI & automation

for Antigravity AI Systems & TheWebVale Labs

01The challenge

Where it hurt.

Every project begins with friction. Old tools, manual steps, and bottlenecks that slow down daily business.

BottlenecksManual stepsLost time

Opaque Background Agent Operations

Autonomous AI agents operated as black boxes without real-time visibility into tool executions.

Manual Multi-Cloud Node Supervision

Engineers had to manually SSH into distributed Oracle and AWS compute nodes to verify daemon health.

Silent Pipeline Failures

Build errors and scraping job timeouts went unnoticed until manual audit cycles discovered them.

Fragmented Token & Cost Tracking

LLM API token consumption across dozens of parallel tasks lacked centralized budget telemetry.

01The solution

How we fixed it.

We engineered dedicated software for each problem. Every solution sliding straight into its place.

Custom buildFast workflowDirect fix

Live SSE Telemetry Stream

solved: Opaque Background Agent Operations

Real-time Server-Sent Events broadcasting agent state transitions, tool invocations, and git commits.

Central Cloud Mesh Control Plane

solved: Manual Multi-Cloud Node Supervision

Single glass dashboard displaying live CPU, RAM, and uptime across MILO, EVE, and edge workers.

Autonomous Self-Healing Sentinels

solved: Silent Pipeline Failures

24/7 background daemons automatically restarting stalled jobs and verifying HTTP 200 endpoint health.

Real-Time Model Cost Intelligence

solved: Fragmented Token & Cost Tracking

Granular breakdown of token velocity, latency percentiles, and API costs across Claude, Gemini, and GPT-4o.

SLOT 15

01Features

What it does.

Every feature built into the platform stands tall, keeping customer tasks running smoothly day and night.

Core featuresInteractiveTested

Real-Time SSE Telemetry Stream

Server-Sent Events streaming live agent tool calls, file diffs, and execution logs with sub-100ms latency.

Cloud Compute Node Orchestrator

Live health, CPU, memory, and SSH telemetry monitoring across Oracle Cloud nodes (MILO, EVE).

Multi-Agent Task Dispatcher

Autonomous work router delegating coding, QA testing, DevOps builds, and content synthesis across specialized subagents.

Autonomous Uptime & Health Sentinel

Continuous 5-minute health check daemon pinging 12+ ecosystem subdomains with automatic alert webhooks.

Automated Rolling Database Backups

Scheduled midnight MongoDB backup crons with automated compression and 7-day retention rotation.

02The proof

The results.

Real production metrics from client launches. Scroll to scratch off the cards.

Metric 01

100%Live Telemetry Feed

SCRATCHSCRATCH HERE

Metric 02

Multi-NodeCloud Compute Mesh

SCRATCHSCRATCH HERE

Metric 03

24/7Autonomous Sentinels

SCRATCHSCRATCH HERE

Metric 04

ZeroDowntime Failover

SCRATCHSCRATCH HERE

02Screens

Every screen. Built to ship.

Control Room

Agentic Command Center Dashboard

Live Telemetry

Live Real-Time SSE Telemetry Feed

Cloud Nodes

Cloud Compute Node Mesh Status

Agent Pipeline

Autonomous SDLC Work Dispatcher

02Next stop

Next station.

DepartedAgentic Command Center & Webverse

Next Stop

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