Free SaaS · Open-source Agent Skill

Share AI outputs.
Close the feedback loop.

floop connects AI-generated work to real human feedback. Share prototypes, PPT-style decks, Markdown docs, specs, and research outputs as review links; collect contextual comments; then feed the loop back into the next AI iteration.

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Free SaaS

floop Server

Upload AI-generated asset bundles, generate shareable review links, and collect contextual feedback from any reviewer. No account needed for viewers by default.

  • Upload via CLI or API
  • Public review links — no sign-in for reviewers
  • Contextual comments on prototypes, docs, and decks
  • AI-output quality checks on every upload
  • Version history
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Open Source

floop Agent Skill

An open-source agent integration for GitHub Copilot and Claude. Package AI outputs, publish them to floop, and turn review comments into the next prompt, task list, or implementation plan.

  • Works inside GitHub Copilot and Claude
  • Package prototypes, decks, Markdown, and specs
  • Turn feedback into structured iteration tasks
  • One-command push to floop Server
  • Open source — MIT license
View on GitHub

How it works

01

Build with AI

Create prototypes, PPT-style decks, Markdown docs, specs, reports, or other digital assets with AI tools and agents.

02

Push to floop

Upload the generated asset bundle to floop Server. Quality checks can run before review so broken links, missing files, and stale outputs are caught early.

03

Share one link

Copy one review URL and send it to clients, teammates, or stakeholders. No account needed to view or comment by default.

04

Collect feedback and iterate

Reviewers leave contextual comments on the asset. See all feedback in one place, feed it back into the AI workflow, and publish the next version.

Self-hosted floop

Need private AI-output review? Host floop on your own infrastructure.

For companies that need data control, compliance, internal-only review links, or custom security review, floop offers a self-hosted path. Start with a free trial and validate the feedback loop with your own database, storage, team policies, and review process.

Apply for self-host free trial →Review deployment source

Contact: marvincs2025@hotmail.com

Self-host is built for

  • Run floop on your own cloud or private network
  • Bring your own PostgreSQL and S3-compatible storage
  • Keep assets, comments, and review history under your control
  • Use team collaboration controls, audit trails, and SSO-ready workflows
  • Start with a free self-host trial before choosing a paid plan

Frequently asked questions

What is floop?

floop is a free SaaS platform for sharing AI-generated digital assets and collecting contextual feedback. Teams use it for prototypes, slide decks, Markdown docs, research notes, and other AI outputs that need a fast review loop.

Is floop free to use?

Yes. floop Server is free. Sign up, upload AI outputs, and share review links at no cost. The floop Agent Skill is open source under the MIT license.

How is floop different from design tools?

floop is not a design editor, slide editor, or document editor. It is the feedback layer around AI-generated work: publish the output, capture contextual comments, carry feedback across versions, and close the loop without moving everything into a heavyweight editor.

Do reviewers need a floop account?

No. Anyone with the review link can open the asset and leave contextual comments directly in their browser. No sign-up required for reviewers unless the project owner enables gated access.

What is the floop Agent Skill?

An open-source agent integration that brings floop into AI workspaces. It helps agents package outputs, publish them to floop Server, and turn reviewer comments into the next iteration plan.

Can I self-host floop?

Yes. floop can be self-hosted for teams that need private infrastructure, data residency, SSO, audit logs, or internal-only review of AI-generated assets. Contact marvincs2025@hotmail.com to request a self-host free trial.

floop Agent Skill

Use floop inside GitHub Copilot or Claude. The agent skill brings the full feedback workflow — package, publish, collect comments, and iterate — directly into your AI workspace.

Get the Agent Skill