Natural language agent creation
Create AI agents from natural language rather than only from low-level configuration, positioning the product around prompt-led agent building.
Okibi è una piattaforma in linguaggio naturale per creare agenti IA specifici per attività.
Okibi is a natural language platform for creating AI agents. The homepage positions it as a way to build agents in minutes, with a template gallery that shows example agents for customer research, Twitter posting, Google Sheets assistance, and PostHog analysis.
The site also exposes standard account access flows for sign-in and sign-up, suggesting a product that users access through a web app. Beyond the public landing pages, the collected source does not provide detailed documentation on setup, integrations, pricing, or deployment options.
Create AI agents from natural language rather than only from low-level configuration, positioning the product around prompt-led agent building.
Browse ready-made examples for common workflows, including customer research, social content generation, spreadsheet assistance, and event analysis.
Start an account or sign back in with GitHub, Google, or email link authentication.
Build agents around specific tasks shown in the gallery, such as identifying prospects with Clearbit or analyzing PostHog events.
Request a custom agent from the homepage when a template does not match the intended workflow.
A product or growth team can use the customer research template to identify potential prospects for a product, with Clearbit mentioned as part of the example workflow.
A content or social team can use a Veo3-based template to generate videos and post them to Twitter as part of a repeatable publishing flow.
An operations or analytics user can rely on a Google Sheets agent to help manage spreadsheet work with AI assistance.
A product analytics team can use the PostHog analysis template to fetch and review event data without building a custom analysis tool from scratch.
Okibi is presented as a natural language platform for creating AI agents. The site also shows template examples for customer research, generating and posting videos to Twitter, managing Google Sheets, and analyzing PostHog events.
The public pages shown here demonstrate sign-in and sign-up flows with GitHub, Google, and email link options, but they do not document the full setup process or creation workflow.
The source text does not list pricing details, billing models, or plan limits. It only shows that a pricing page exists.
The collected pages do not provide documented integrations or technical limits. Template examples mention Clearbit, Veo3, Google Sheets, and PostHog, but no broader integration list is shown.
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