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Avocado Studio AI - Site Content Ops
Agentic content operations for any Next.js website
Open, agentic, composable site content operations. A modern AI-native content layer for teams who want agentic site editing and page building without a six-figure platform contract.
Over the last year, most enterprise CMS and DXP started shipping “AI content operations.”
Some of them are more E2E whiles others just integrated GenAI to modify text or imagery. Most of them were also locked behind massive enterprise contracts.
As someone who initimately understands this space from my enterprise daytime job, I started building Avocado Studio as a personal learning experiment:
How could you infuse AI into the website editing experience in a way that actually boosts productivity - without sacrificing structure, reliability, or editorial and developer control?
One thing I intentionally avoided from the start was letting the AI directly rewrite HTML or application code like most AI builders do. Instead, I built the system around structured operations and typed content blocks from day one.
Every edit becomes an explicit action like:
create_page
add_block update_block move_block remove_block
This AI assistant never “freehands” the page. It plans and run operations against a validated schema. Every operation is validated with Zod before execution. Users review the plan before applying it. Everything is reversible.
Current features:
Works with Next.js 15+ sites
AI chat editing + visual drag-and-drop page builder canvas
Puck editor plug-in as an alternative to the built-in editor. Now you can infuse AI into Puck without having to use their paid cloud service.
Bring your own LLM (Anthropic/OpenAI/Gemini). Anthropic is best tested for now.
Media assets (images) can be added from local drive, Unsplash or directly edited with GenAI (e.g. GPTImage or Gemini Nano Banana, configurable). Any other media asset can be easily plugged in.
Publish with change history
Works with any headless CMS - I've added examples for Contentful, Sanity, Strapi. But you can also just used JSON to store your content, a CMS is not required.
MCP server support (all ops can be done via any MCP client, e.g. using Claude Desktop)
Jira integration (interact with the site agent via Jira tickets), Linear is on the roadmap
Self-hosted + Apache 2.0
The Next.js integration path is already solid. Other frameworks can be added by contributors.
I’d love feedback from teams building composable stacks, CMS tooling, internal platforms, or AI-assisted workflows.
About Avocado Studio AI - Site Content Ops on Product Hunt
“Agentic content operations for any Next.js website”
Avocado Studio AI - Site Content Ops was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #145 on the daily leaderboard. Open, agentic, composable site content operations. A modern AI-native content layer for teams who want agentic site editing and page building without a six-figure platform contract.
On the analytics side, Avocado Studio AI - Site Content Ops competes within Open Source, Marketing, Website Builder, GitHub and Vercel Day — topics that collectively have 582.8k followers on Product Hunt. The dashboard above tracks how Avocado Studio AI - Site Content Ops performed against the three products that launched closest to it on the same day.
Who hunted Avocado Studio AI - Site Content Ops?
Avocado Studio AI - Site Content Ops was hunted by Yury H.. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Avocado Studio AI - Site Content Ops including community comment highlights and product details, visit the product overview.
Yury H.
Hey PH 👋
Over the last year, most enterprise CMS and DXP started shipping “AI content operations.”
Some of them are more E2E whiles others just integrated GenAI to modify text or imagery. Most of them were also locked behind massive enterprise contracts.
As someone who initimately understands this space from my enterprise daytime job, I started building Avocado Studio as a personal learning experiment:
How could you infuse AI into the website editing experience in a way that actually boosts productivity - without sacrificing structure, reliability, or editorial and developer control?
One thing I intentionally avoided from the start was letting the AI directly rewrite HTML or application code like most AI builders do. Instead, I built the system around structured operations and typed content blocks from day one.
Every edit becomes an explicit action like:
create_page
add_block
update_block
move_block
remove_block
This AI assistant never “freehands” the page. It plans and run operations against a validated schema. Every operation is validated with Zod before execution. Users review the plan before applying it. Everything is reversible.
Current features:
Works with Next.js 15+ sites
AI chat editing + visual drag-and-drop page builder canvas
Puck editor plug-in as an alternative to the built-in editor. Now you can infuse AI into Puck without having to use their paid cloud service.
Bring your own LLM (Anthropic/OpenAI/Gemini). Anthropic is best tested for now.
Media assets (images) can be added from local drive, Unsplash or directly edited with GenAI (e.g. GPTImage or Gemini Nano Banana, configurable). Any other media asset can be easily plugged in.
Publish with change history
Works with any headless CMS - I've added examples for Contentful, Sanity, Strapi. But you can also just used JSON to store your content, a CMS is not required.
MCP server support (all ops can be done via any MCP client, e.g. using Claude Desktop)
Jira integration (interact with the site agent via Jira tickets), Linear is on the roadmap
Self-hosted + Apache 2.0
The Next.js integration path is already solid. Other frameworks can be added by contributors.
I’d love feedback from teams building composable stacks, CMS tooling, internal platforms, or AI-assisted workflows.
Site: https://avocadostudio.dev/
GitHub: github.com/avocadostudio-ai/avocado
Docs: docs.avocadostudio.dev