Role-Based Programme
RB0878

Google Antigravity for Product & Service Management

Research, Plan, Prototype & Validate Products with AI Agents

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in using Google Antigravity for product research, requirements analysis, planning, prototyping, and product-delivery activities.
  • Build multi-agent workflows for analysing customer needs, product documentation, competitors, technical dependencies, and delivery risks.
  • Translate product requirements into structured plans, artifacts, prototypes, validation activities, and engineering-ready inputs.
  • Apply Antigravity agents to browser-based research, file analysis, application testing, documentation, and recurring product-management workflows.
  • Build governed Product Need → Research → Plan → Prototype → Validate → Deliver workflows with appropriate human review.

Tools covered

Google Antigravity 2.0AI AgentsProjectsArtifactsDynamic SubagentsBrowser & File ToolsScheduled TasksSkillsMCP IntegrationsJSON HooksAntigravity CLI

Who should attend

  • Product Managers
  • Product Owners
  • Technical Product Managers
  • Service Managers
  • Digital Product Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Analysts
  • Product Strategy Professionals
  • Implementation Managers
  • Innovation Managers
  • Product & Engineering Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service management
  • Familiarity with product requirements, customer problems, user stories, or product roadmaps
  • Basic awareness of software-development and digital-product concepts
  • Familiarity with files, web research, and collaborative product workflows
  • No advanced programming expertise required
  • No previous Antigravity experience required

TOC Modules

Concepts
  • Understanding Antigravity as an agent-first platform for knowledge and software work
  • Understanding Agents, Projects, Artifacts, tools, and agent orchestration
  • Identifying suitable product-management activities for agent-assisted execution
Practical activities
  • Creating a product-focused Project and running a guided Agent task
  • Reviewing generated tasks, artifacts, evidence, and outputs

Scenarios

Customer Problem to Validated Product Prototype

Customer Feedback → Antigravity Research → Dynamic Subagents → Problem Analysis → PRD → Technical Plan → Prototype → Browser Validation → Product Recommendation

Participants use Antigravity to analyse a customer problem, parallelise product and technical research, create a structured requirement, generate a prototype, validate key user journeys, and prepare an evidence-backed recommendation.

Recurring Product Intelligence Workflow

Competitor / Market Sources → Scheduled Agent → Web & File Analysis → Product Changes & Signals → Artifact → Product Manager Review → Roadmap Action

Participants design a recurring Antigravity workflow that monitors defined product information, consolidates relevant changes into structured artifacts, and supports periodic roadmap and product-strategy decisions.

## Current Capability Reference

Google Antigravity 2.0 is currently a standalone agent-focused platform that can orchestrate multiple agents, create dynamic subagents, execute system and file operations, conduct web research, interact with Chrome, generate artifacts, and connect with external tools through Skills and MCP.

Antigravity 2.0 also supports **Projects** and **Scheduled Tasks**, enabling recurring autonomous workflows and organised work across multiple project contexts.

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