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Month: September 2026 (Page 2 of 2)

Algolia and Vercel bring AI-powered search natively to the Vercel Marketplace

Algolia, an AI Search and Retrieval platform, announced a native integration with Vercel, an agentic infrastructure platform where humans and agents build software together. The integration lets developers provision an Algolia application directly from the Vercel dashboard turning search into a single deployment step instead of a separate setup project.

From the Algolia listing on the Vercel Marketplace, developers click “Install” to trigger an OAuth handshake between the two platforms, replacing the need to create a separate Algolia account. A setup wizard then walks through selecting a hosting region, optionally activating the Algolia Crawler for a Vercel domain, and choosing a plan.

Once confirmed, Algolia provisions the application automatically, and its credentials are synced directly into the environment variables of the connected Vercel project. Usage is billed through the developer’s existing Vercel invoice rather than a separate Algolia one. The Algolia dashboard remains a single click away via Vercel SSO for teams that want to browse indices, tune relevance, or configure the crawler.

Vercel’s Marketplace supports two integration models: connectable-account integrations, which link Vercel to an account a developer already holds elsewhere, and native integrations, which are provisioned and managed directly from the Vercel dashboard, with billing consolidated into the developer’s existing Vercel account.

https://www.algolia.com/about/news/algolia-and-vercel-partner-to-bring-ai-powered-search-natively-to-the-vercel-marketplace

Storyblok introduces Storyblok Agents

Storyblok announced the launch of Storyblok Agents, an AI-powered content operations layer built directly into the CMS.

With Storyblok Agents, content teams have a conversational way to research and work with their content. For example, they can ask to see content that is stale, duplicated, missing translations, or needs more work before it’s published. They are then able to act on that information in the same conversation and build custom agents for any recurring task that can be scheduled to run automatically.

Teams have the ability to choose which AI provider and model is used, and are able to use their own AI credentials to have control over the experience and token spend. Storyblok also offers an MCP Server that enables teams to use agents outside of the CMS by giving any compatible AI agent direct, structured access to a Storyblok workspace.

Storyblok Agents can be activated through Storyblok Labs on Growth plans and above, and an interactive demo is available.

https://www.storyblok.com/mp/introduces-storyblok-agents

Adobe Productivity Agent in Acrobat transforms complex documents into understandable visuals, audio & presentations

Adobe announced new AI capabilities powered by the Adobe Productivity Agent in Acrobat that help people and teams understand the information in their documents faster, create polished work more easily and access trusted knowledge at scale. New interactive reports and summary slides turn dense documents into compelling visuals, while personal podcasts and audio summaries make it simple to listen, learn and get up to speed on a single page or across dozens of documents. New enterprise capabilities help teams ask questions across document collections and surface structured insights from thousands of files, helping businesses scale document knowledge and make better decisions.

The new capabilities mark the next milestone in Acrobat’s evolution, transforming how people move from reading documents to knowing what matters and acting on it with confidence. Adobe’s productivity agent works across documents, data and systems to execute tactics and orchestrate everything necessary so people can get insights faster, generate rich content quickly and share knowledge with interactive experiences.

https://news.adobe.com/news/2026/09/adobe-productivity-agent-in-acrobat-now-transforms-complex-documents

Fimo launches autonomous websites, making AI code editable and self-improving

Fimo, an AI CMS built by the team behind Strapi, launched today. The platform works with any AI-generated code, from Claude Code to Codex, turning the code into self-optimizing autonomous websites.

Fimo’s native and custom agents work around the clock to publish SEO content, build internal links, fix schema issues, translate content, refresh stale content, and flag performance issues. Updates can be pushed through review processes and custom workflows, ensuring teams get all the agentic help they need, without humans fully exiting the loop.

Every agent action lands in a pull request, runs in an isolated environment, and respects the same role-based permissions as a human editor. Nothing reaches production without review.

Fimo works with any AI coding tool and any frontend framework. Whether you’re using Cursor and Svelte, or Codex and Nuxt.

Teams don’t need to change their development workflows either, as Fimo becomes a transparent layer over your PRs, reviews, and CI. Agents open branches and pull requests like any teammate normally would. Senior team members still gate every merge, and your repo stays the source of truth.

https://fimo.ai

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