Voiceflow AI Chatbot Build
Budget: $30 – $250 USD
I’m ready to turn a set of conversation ideas into a fully functional AI agent built in Voiceflow. I’m looking for someone who already knows the platform inside out—variables, flows, API blocks, integration settings—and can translate requirements into a smooth, human-like chat experience.
Here’s what I need from you:
• A complete Voiceflow project file with clearly labelled flows, reusable components, and clean logic
• Connection to a best-fit NLP engine (Dialogflow CX, OpenAI, or similar) with intents/entities set up and trained on the sample data I’ll provide
• Channel hand-off guidance so I can plug the finished bot into my preferred frontend (web, app, or social) without rewriting anything
• A short Loom walk-through and written hand-over notes covering environment variables, how to update training phrases, and how to export the project
Acceptance criteria:
1. All core use-cases run end-to-end in Voiceflow’s test console with <1 sec average response time.
2. Fallback and escalation flows trigger reliably on unrecognised input.
3. Handover package imports and launches error-free on a fresh Voiceflow workspace.
If this sounds straightforward for you, please share one or two Voiceflow projects you’ve shipped and your preferred NLP stack. I’m keen to get started as soon as we agree on scope.
Here’s what I need from you:
• A complete Voiceflow project file with clearly labelled flows, reusable components, and clean logic
• Connection to a best-fit NLP engine (Dialogflow CX, OpenAI, or similar) with intents/entities set up and trained on the sample data I’ll provide
• Channel hand-off guidance so I can plug the finished bot into my preferred frontend (web, app, or social) without rewriting anything
• A short Loom walk-through and written hand-over notes covering environment variables, how to update training phrases, and how to export the project
Acceptance criteria:
1. All core use-cases run end-to-end in Voiceflow’s test console with <1 sec average response time.
2. Fallback and escalation flows trigger reliably on unrecognised input.
3. Handover package imports and launches error-free on a fresh Voiceflow workspace.
If this sounds straightforward for you, please share one or two Voiceflow projects you’ve shipped and your preferred NLP stack. I’m keen to get started as soon as we agree on scope.