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Google AI Studio 2.0

Google AI Studio 2.0

Full-stack vibe coding powered by Antigravity + Firebase

Overview

What it is

We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.

Intent

I need it when

Analyze complex data and generate business insights from internal and external sources

Claude processes large documents (equivalent to 100K lines of code or 15 financial reports), conducts multi-step web research with automatic angle exploration, and creates cited reports. Artifacts enable real-time visualization of charts and dashboards. Enterprise users gain audit logs and compliance API for governance.

Scale AI capabilities across teams with security and compliance controls

Team and Enterprise plans provide SSO, SCIM, role-based access, audit logs, HIPAA-ready options, and custom data retention. No model training on work data by default. Connectors to Atlassian, Intercom, Cloudflare, and custom MCP integrations enable secure, organization-wide deployment.

Delegate research, document drafting, and repetitive administrative work

Claude Cowork accepts files, browser context, and tool connections (Slack, Google Drive, Microsoft 365) to conduct research, generate reports with citations, and execute scheduled tasks. Users hand off work and receive polished deliverables, freeing time for strategic decisions.

Accelerate software development and code review cycles

Claude Code integrates into development workflows to explain programming concepts, review code for bugs and optimization, and collaborate on feature implementation. Claude Opus 4.8 handles complex logic; users can execute Python in sandboxed environments and integrate with Git/Jira. This reduces development time from days to hours.

Build and deploy AI agents for customer support, content generation, or operational automation

Managed Agents API enables composable agent workflows at standard token rates ($0.08/session-hour for active runtime). Claude's reasoning models (Opus 4.8) support multi-step planning. Batch processing offers 50% cost savings for asynchronous workloads.

Drop

Not a fit when

  • User requires real-time data integration with proprietary legacy systems that lack API support or MCP connectors
  • Organization operates in a jurisdiction with strict data residency laws and cannot use Anthropic's standard cloud infrastructure
  • User needs guaranteed sub-second latency for time-critical applications such as high-frequency trading or autonomous vehicle control
  • Project requires model fine-tuning or custom model training on proprietary datasets (Claude does not offer fine-tuning)
  • User requires offline-only operation with no internet connectivity or cloud dependency
Commercials

Pricing

Freemium with tiered subscription plans: Free (no cost), Pro ($17–$20/month), Max ($100+/month), Team ($20–$125/seat/month), Enterprise (custom pricing). API pricing available separately by token usage. View pricing