People ask us what tools we use. The honest answer is three: Google Antigravity for building, OpenClaw for deploying, and Google Cloud for running. That's the entire stack. Three layers that turn a two-person team into a force that ships faster than agencies ten times our size. Here's how the pieces fit together — and how you can replicate it.
Layer 1: Build with Antigravity
Every line of code we ship begins in Google Antigravity. Not because it's trendy — because it's faster. The agent-first IDE lets us describe what we want and get production-quality code in minutes. Full-stack websites. API integrations. Data pipelines. AI agent logic. The Gemini 3 models powering Antigravity understand our codebase, our conventions, and our architecture because we let them read the whole thing before we start.
The key insight: Antigravity doesn't replace us. It eliminates the gap between thinking and shipping. When we decide a client needs a new feature, the lag between "we should build this" and "it's live in production" has shrunk from days to hours. Sometimes minutes.
What We Build in Antigravity
- Client websites: Full Next.js applications with premium design, SEO, and content management
- AI agent logic: The intelligence layer that powers our OpenClaw deployments — tool definitions, system prompts, guardrails, memory schemas
- Integration code: API connectors, data transformers, webhook handlers that connect client systems to their AI agents
- Internal tools: Dashboards, monitoring interfaces, admin panels for managing our fleet of deployed agents
Average time to build a complete client website from blank canvas to production: 48 hours. Average time to build and deploy a custom AI agent with multi-channel support: 2-3 days. These timelines would be impossible without Antigravity.
Layer 2: Orchestrate with OpenClaw
Code is just text until it's running. OpenClaw is what takes our AI agent logic and turns it into a living, breathing workforce that operates 24/7.
Every agent we deploy for clients runs through OpenClaw's orchestration layer:
- Gateway configuration: We define which communication channels the agent listens on — WhatsApp, Slack, email, webchat, or all of the above
- Agent definition: The agent's role, personality, capabilities, tools, and guardrails — all in a markdown file that the client can read and understand
- Memory setup: How the agent stores and retrieves context — conversation history, client preferences, learned patterns, knowledge base
- Cron schedules: Proactive tasks the agent performs autonomously — morning reports, inbox triage, data monitoring, deadline reminders
OpenClaw's declarative approach means we can spin up a new agent deployment in hours, not weeks. And because the configuration is in plain text files, version-controlled in Git, we have complete audit trails of every change to every agent's behaviour.
Layer 3: Run on Google Cloud
Both Antigravity (our development tool) and OpenClaw (our orchestration platform) run on Google Cloud Platform. This isn't coincidence — it's strategy.
The Architecture
| Component | GCP Service | Purpose |
|---|---|---|
| OpenClaw Gateway | Cloud Run | Routes messages between channels and agents |
| Agent Runtime | Cloud Run | Executes agent logic, manages sessions |
| LLM Inference | Vertex AI (Gemini) | The thinking engine behind every agent |
| Agent Memory | Firestore | Conversation history, knowledge, preferences |
| Client Websites | Vercel / Cloud Run | Next.js applications with global CDN |
| File Storage | Cloud Storage | Documents, images, agent-generated assets |
| Secrets | Secret Manager | API keys, tokens, credentials |
| Monitoring | Cloud Monitoring | Uptime, performance, error tracking |
Everything talks to everything. Gemini reads from Firestore. Cloud Run talks to Vertex AI. Secret Manager feeds credentials to Cloud Run. The monitoring layer watches all of it. No integration friction. No bridging between ecosystems. One platform, one billing account, one set of IAM policies.
The Workflow: From Client Enquiry to Deployed Agent
Here's exactly how a typical project flows through our stack:
Day 1: Discovery + Audit
Client contacts us. We run our AI Readiness Audit. We identify the highest-impact automation opportunity. Usually it's inbox triage, report generation, or lead qualification.
Day 2-3: Build in Antigravity
We open Antigravity, create the project, and start building. The agent writes the OpenClaw configuration files — agent personality, tool definitions, guardrails. We review, refine, and test locally. Antigravity runs the dev server, simulates conversations, and verifies the agent behaves correctly.
Day 4: Deploy via OpenClaw
Push the configuration to Cloud Run. OpenClaw spins up the Gateway and Agent Runtime. We connect the client's communication channels — add the WhatsApp number, connect the Slack workspace, configure the email forwarding. Run end-to-end tests through each channel.
Day 5: Go Live
The agent goes live with human-in-the-loop oversight. Every action is logged. Client review dashboards show what the agent did, why, and with what confidence. After 1-2 weeks of supervised operation, we gradually reduce oversight as the agent proves its reliability.
Five days. Discovery to deployment. For context, a traditional enterprise automation project takes 3-6 months. We do it in a week because of three things: Antigravity makes us fast at building, OpenClaw makes us fast at deploying, and Google Cloud makes everything reliable at running.
Why This Matters for Your Business
You don't need to use our exact stack. But you need a stack that works like ours — where the build, deploy, and run layers are so streamlined that the bottleneck is always "what should we automate next?" never "how do we get this working?"
The gap between companies that have deployed AI agents and companies that are "exploring AI" widens every quarter. It's not a knowledge gap anymore — the knowledge is freely available. It's an execution gap. And execution gaps are closed by having the right tools, the right architecture, and the right team.
We're biased. We built our business on this stack. But we built our business on this stack because, after trying everything else, this is what works. Antigravity for building. OpenClaw for orchestrating. Google Cloud for running. Simple, powerful, and proven in production every single day.
