Gooey.AI

Every workflow on Gooey.AI is public by default and can be copied into your own account in a click. That includes agents that already run at scale, such as Farmer.CHAT, the agricultural assistant shown at the UN, and a nurse-advisor agent built for Nigeria. Forking gives you a working configuration, models, prompts, and integrations included, so the first version of your agent exists within minutes rather than weeks. You can also keep a workflow private and invite teammates to edit it together.

Deployment is the part most AI tooling makes you build yourself. Gooey.AI pushes the same agent to WhatsApp, Slack, Facebook, Telegram, voice lines, and an embeddable website widget without separate integrations. WhatsApp support covers voice notes, photos, buttons, location sharing, and citations. That's how people actually message. The web widget can be dropped into a site or app and restyled, and there's a switch to remove the "Powered by Gooey.AI" badge on paid tiers.

The platform pulls speech recognition from Meta, Google, OpenAI, Azure, and regional vendors, and text-to-speech from Google, OpenAI, Azure, and ElevenLabs. Translation runs across more than 1,000 languages, including providers built for African and South Asian languages that mainstream assistants handle badly. For teams serving users who write in a local language and speak in another, that combination is the difference between an agent people use and one they abandon.

You feed the knowledge base PDFs, Word files, spreadsheets, Google Docs and Sheets, links, or audio and video, and the retrieval layer transcribes and indexes them. Search runs hybrid, matching both related concepts and exact keywords, which matters for jargon-heavy material where a pure vector search drifts. Answers come back with page-level citations to the original PDF, so a health worker or agronomist can verify a claim instead of trusting the model. Linked documents re-index automatically when the source changes.

Agents can call functions, so the model decides when to run a tool, query your internal system, or write code to fulfill a request. Each function is itself a JavaScript workflow, so you can collaborate on it and version it like anything else on the platform. Secrets support lets a function hit a private API without exposing keys to anyone outside your team, including Gooey.AI staff. Functions now run on Cloudflare Workers, which the company says improved cold starts.

Gooey.AI treats measurement as part of the build rather than an afterthought. You can assemble golden Q&A sets, bulk-run a workflow against them, and score model or prompt changes before pushing them live. The dashboard tracks conversations, feedback, and usage so you can see which questions your agent fails and where people drop off. That's how the sales pitch about reaching product-market fit faster is supposed to work in practice.

Everything you build in the interface is also available over the API, with a single key covering the whole suite of workflows. The company offers preview packages that include commercial and reseller license rights, so partners can resell its services and APIs under their own brand. That puts Gooey.AI in the same territory as an infrastructure vendor, not just a chatbot builder.