eze
eze is a self-hosted, open-source platform that deploys static HTML/CSS/JavaScript folders as private team websites restricted to company sign-in users. Each site includes a built-in database with live updates, file upload handling, real-time collaboration rooms, and direct access to Claude, OpenAI, or custom AI models. Viewers are identified by their company identity (Google Workspace, Okta, Entra ID, or OpenID Connect) without requiring API keys or session management in code. eze runs as a single binary on a small VM and integrates with Claude Code and Cursor to allow AI agents to generate and deploy internal tools automatically.
eze is a no-code app development platform, integrating with Claude Code, Cursor, Google Workspace and Okta. InnovaAI rates it 4.3 of 10 for agency adoption, best for Founder, Project Manager and Operations roles.
Agency Audit
eze is a self-hosted platform that converts static HTML/CSS/JavaScript folders into private team websites accessible only to company sign-in users, bundling a database, file uploads, real-time collaboration rooms, and AI model access without backend code. Agencies building internal tools, running coding-agent workflows, or managing team-only applications benefit most. Best fit: teams with SSO infrastructure (Google Workspace, Okta, Entra ID) who currently spin up custom backends or rely on third-party SaaS for internal dashboards, voting tools, or collaborative apps.
5recommended
90/mo
No paid plan published
Moderate
Illustrative scenario. Not a guarantee. Net capacity needs a verified paid base plan, and none is published for this service, so it is not modeled. Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Founder handling internal tool deployment
- Project Manager handling team collaboration app development
- Operations handling AI agent-to-production workflow
- Your team lacks in-house DevOps or server management capacity and cannot allocate 4-6 hours to initial setup and ongoing maintenance of a self-hosted instance.
- You rely exclusively on no-code platforms (Airtable, Notion, Zapier) and do not have developers comfortable writing HTML/CSS/JavaScript or prompting AI coding agents.
- Your internal tool needs are sporadic (fewer than 2 new tools per year) and do not justify the operational complexity of running a separate hosting platform.
Internal Adoption Path
No paid plan published
90 hr/mo
5 seats × 18 hr each
$6,750/mo
modeled at $75/hr labor rate
No paid plan published
Illustrative scenario. Not a guarantee. No verified paid base plan is published for this service, so subscription cost and net capacity are not modeled. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of eze
Deploy static sites from AI agents
eze.mcp integrates with Claude Code and Cursor, allowing Founders and Tech Leads to prompt AI tools to build internal apps and deploy them directly without manual backend setup. Compresses the 'request custom tool' workflow from days to minutes.
Built-in database with live updates
eze.db persists data and broadcasts changes in real time across all viewers. Project Managers and Operations teams use this to build collaborative dashboards (sprint boards, resource trackers, voting apps) without writing server-side code.
Company sign-in access control
eze.id ties each viewer to their company identity via Google Workspace, Okta, Entra ID, or OpenID Connect. Eliminates the need to manage API keys or session tokens in code; access is automatic and company-wide.
Real-time collaboration rooms
eze.ws enables shared cursors, chat, and multiplayer interactions. Teams building internal games, brainstorming tools, or live-editing interfaces avoid the complexity of WebSocket infrastructure.
File uploads and storage
eze.files handles image, video, and PDF uploads without requiring separate cloud storage configuration. Useful for internal tools that need to collect media (design reviews, client work samples, team photos) from multiple users.
AI model access without backend code
eze.ai exposes Claude, OpenAI, and custom models directly from the frontend. Strategists and Designers can build internal AI-assisted tools (content brainstorming, copy review, design feedback) without DevOps involvement.
What Makes eze Different
Unique advantages vs similar tools in this niche
Backend-as-a-service bundled into self-hosted static hosting
vs Standing up a separate backend and database for internal toolsPages load one script from eze and get database, files, real-time and AI with nothing to set up.
SSO-gated private hosting that refuses public email domains
vs Generic static hosts that expose sites publiclyeze won't start if its sign-in would let in a public email domain like gmail.com.
MCP-based deployment for AI coding agents
vs Manual deploy pipelineseze mcp lets Claude Code, Cursor and other MCP apps deploy sites for you.
Value Equation
Outcome-likelihood-time-effort assessment for eze
Value math requires real pricing
The Value Equation (dream outcome × likelihood ÷ time × effort) feeds directly into ROI math. eze has no published pricing, so we hold this section until real numbers are available.
Contact ezePricing
Pricing data not yet available for eze.
Reality Check
eze requires server infrastructure and wildcard DNS setup, making it unsuitable for agencies without DevOps capacity or those unwilling to self-host. Adoption ROI concentrates on teams deploying 5+ internal tools annually; single-tool use cases rarely justify the operational overhead.
High effort: requires technical configuration and team training
How This Accelerates White-Label Services
Who It's For
- ✓internal-tooling-teams-at-companies-with-sso
- ✓agencies-building-private-team-apps
- ✓teams-using-ai-coding-agents
Acceleration Steps
- 1Schedule onboarding with the vendor
- 2Configure deploy static html/css/js folders as private team websites
- 3Connect Claude Code
- 4Launch your first client project
Academy for eze
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
eze Agency Implementation, Building Internal Tools for Enterprise Clients
Learn how to position eze as a productized service for enterprise clients needing internal tools without custom development. This course covers deploying static sites with built-in databases, configuring company sign-in access control, and automating tool generation through AI agents to compress project timelines from weeks to days.
Open the courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Portability Debt LedgerConcept
Portability Debt Ledger treats every no-code build as carrying a hidden exit cost that accrues with each workflow, integration, and data model added. Agencies rarely price this: a client portal assembled in Noloco or a CRM in Taskade looks cheap at delivery, but the cost of moving that logic to a conventional stack later sits on the agency's books, not the platform's. The framework asks three questions at scoping: where does the data actually live, what logic exists only inside the vendor's runtime, and who owns the schema if the retainer ends. Governance pressure is rising in parallel. Forrester notes marketing AI is shifting from individual literacy to scaling systems, and the primary risk at scale is losing governance and human oversight across simultaneous workflows. A ledger entry per build, reviewed quarterly, turns an abstract migration worry into a line item a client can see and fund.
- Rebuild Cost ExposureConcept
Rebuild Cost Exposure is the estimated cost to reconstruct a client app on another stack if the platform changes pricing, terms, or capabilities. Agencies should price this exposure before signing a retainer, not after. The framework has three inputs: how much logic lives in the platform's proprietary layer, how exportable the underlying data is, and how many hours a conventional rebuild would take. A client portal built on Noloco with data in Airtable carries different exposure than a Bubble app with native mobile builds and hosted backend. The risk is not hypothetical: 105 of 175 AI tools changed monetization-relevant terms between June and October 2026, roughly 60% in 15 weeks, per a ClipJury audit. For agencies, that means a platform fee change can hit every client app at once. Quantify rebuild hours per app, add them to the proposal as a stated risk, and revisit the number each quarter.
- Governance Drag CoefficientConcept
Governance drag is the oversight cost a no-code app adds once it starts making decisions instead of just storing records. Every automated approval, routing rule, or AI agent inside a client portal needs a human checkpoint, an audit trail, and a named owner, and that overhead compounds across accounts rather than staying flat. Forrester's MAICON observations put the risk plainly: scaling AI without documented governance produces brand drift and compliance gaps that surface across dozens of client accounts at once. The practical test is to price the review layer before the build. A Noloco client portal with three approval workflows carries a different drag profile than a Bubble dashboard that only reads data, and a Taskade app with embedded agents sits higher still. Agencies that quote the oversight hours alongside the build hours protect retainer margin; those that treat governance as an afterthought absorb it silently in month three.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- No-Code App Rule: Price the Exit Before You Price the BuildEvaluation Rule
Before quoting a no-code build, document the export path, the data ownership clause, and the monthly platform cost at the client's expected user count, then price the migration as a line item.
- No-Code App Rule: Count the Handoffs Before You Count the ScreensEvaluation Rule
Map every human approval and system handoff before choosing a platform, then reject any build whose coordination steps would live outside the app in email or chat.
- No-Code App Development Decision: Reusable Portal Product vs One-Off Client BuildDecision Framework
IF an agency expects to ship three or more client portals or internal tools within twelve months on overlapping data models, THEN treat no-code as a product line: standardize on one platform, build a reusable template, and price the retainer against amortized assembly time. IF each engagement has a distinct data architecture, compliance surface, or migration path, THEN scope it as a one-off conventional build and use no-code only for the prototype layer.
- The Demo-to-Production Trap: Why No-Code App Development Stalls at HandoverFailure Pattern
- The Shadow Schema Trap: Why No-Code App Development Breaks When Client Data Outgrows the PrototypeFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
12 modules selected for eze
Frequently Asked Questions
Answers about pricing, setup
eze is open-source hosting that turns a folder of HTML, CSS, and JavaScript into a private website restricted to your company's sign-in. Each site gets a built-in database with live updates, file uploads, real-time collaboration rooms, and access to Claude, OpenAI, or custom AI models. No backend code or API keys required; viewers are identified by their company sign-in (Google Workspace, Okta, Entra ID, or OpenID Connect).
eze is open-source under the MIT license and free to self-host. There is no per-seat pricing. Your only costs are server infrastructure (a small VM) and internal DevOps time to set up and maintain the instance.
Founders and Tech Leads benefit most by deploying AI-agent-generated tools without backend work. Project Managers and Operations leads use eze to build collaborative dashboards and team coordination apps. Strategists and Designers can prototype AI-assisted internal tools (brainstorming, feedback, content review) without developer involvement.
Savings depend on tool deployment frequency. A team deploying 3-5 internal tools per year saves approximately 16-24 hours per month by eliminating backend development, API key management, and third-party SaaS setup for each tool. Single-tool use cases save minimal time and rarely justify the operational overhead.
You need a server (a small VM is sufficient), a domain with wildcard DNS and HTTPS, and company sign-in configured (Google Workspace, Okta, Entra ID, or any OpenID Connect provider). Setup takes 4-6 hours for an Operations or DevOps person familiar with server configuration.
Yes. eze supports Google Workspace, Okta, Entra ID, and any OpenID Connect provider. It also works with custom auth proxies you already use. Sign-in is company-domain-restricted; eze will not start if configured to allow public email domains like gmail.com.