Google Stitch vs ZooWork: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Google Stitch and ZooWork — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Google Stitch
Google LLC
Generates UI designs for mobile and web from prompts, sketches, or images to speed design ideation and prototyping.
Key features
- Prompt-to-UI Generation: Produces UI screens for mobile and web from natural-language prompts, sketches, or images to accelerate ideation and mockup creation.
- Sketch and Image Import: Accepts user sketches or images as input and converts them into UI layouts and visual designs to jumpstart the design process.
- Gemini CLI Extension: Provides a Gemini CLI extension enabling natural-language interaction with a Stitch MCP server for generating UIs and managing requests from the terminal.
- MCP Server & Proxy Tooling: Offers an MCP (Managed Control Plane) workflow and proxy utilities to host a Stitch MCP server, route requests, and facilitate local development/testing.
- GCP Integration & Authentication: Integrates with Google Cloud tooling (gcloud) for authentication, Application Default Credentials, project selection, and IAM role setup required to enable the Stitch API.
- CLI-based Setup & Diagnostics: Includes command-line installers and setup commands (e.g., npx @_davideast/stitch-mcp init) that automate installation, enable APIs, configure credentials, and diagnose setup issues.
- Generates UI designs for mobile and web from prompts, sketches, or images
- Hosted Stitch web application for interactive design ideation
- Stitch MCP API for programmatic access and server integration
- Gemini CLI extension to interact with Stitch via natural language commands
- MCP proxy server capability for local/dev proxying of Stitch MCP
- CLI-driven setup and provisioning (npx init, gemini extensions install)
- Google Cloud authentication support (gcloud auth, Application Default Credentials)
- IAM-based access control requirements and project-level service enablement
Best for
- Rapid Design Ideation: Quickly generate multiple UI concepts from a brief or sketch to explore interface directions during early-stage product design.
- Sketch-to-Prototypes: Convert hand-drawn sketches or screenshots into digital UI screens that designers can refine and iterate on.
- Developer Handoff Automation: Produce consistent UI outputs that designers can export or hand off to developers along with configuration for Stitch MCP to streamline implementation.
- CLI-driven Design Workflows: Integrate UI generation into terminal-driven workflows using the Gemini CLI extension for teams that prefer code/CLI environments.
- Enterprise Self-hosting & Control: Deploy and run a Stitch MCP server with GCP integration and IAM controls to maintain access governance and combine Stitch with internal toolchains.
- Local Development & Testing: Use the MCP proxy and diagnostic commands to test Stitch-generated UIs and API interactions in local or staging environments before production rollout.
- Rapid design ideation and exploration of mobile/web UI concepts
- Convert sketches or screenshots into polished UI screens for prototyping
- Automated UI generation in developer workflows via CLI or API
- Integrating AI-driven UI generation into a Google Cloud-based toolchain
- Local development and testing using an MCP proxy server
- CI/CD automation to generate or refresh design assets programmatically
ZooWork
Serendipity One
Agent delivery platform for domain experts to build, deploy and manage business AI agents with skills, tools and a managed runtime API.
Key features
- Agent Builder: Turns a chat conversation into a working agent that can be published in one click
- Agent Skills: Packages knowledge, SOPs, delivery standards and tool permissions into a reusable role definition
- Approval gates: Agents plan before acting and request human approval before moving money or data
- Multi-model support: Works with OpenAI, Claude, Gemini, DeepSeek, Kimi and GLM models
- System integrations: Connects to Google Workspace, Microsoft 365, Slack, Lark, Jira and GitHub, plus any MCP-compatible tool
- Triggers and scheduling: Agents re-check on a schedule and run through IM channel integrations
- Managed Agent API: Runs agents on a production-grade runtime through a single API
- ZooData: Converts any product URL into agent-ready JSON with fewer LLM tokens
Best for
- A retail ops team deploys a store-analyst agent that forecasts weekend stockouts and drafts replenishment actions for approval
- A consultancy turns its proposal playbook into a brand-planner agent that drafts decks from a brief
- A finance team builds a contract-review agent that follows its own standards and escalates exceptions
- A SaaS company embeds agents in its product through the Managed Agent API
- An e-commerce analyst tracks competitor product pages as structured JSON using ZooData