With Flowise and Make.com. Two Hours. Two Go-Lives.
Deployment with Flowise is stand-alone and fast. Does not need any of the custom UI code in the Github Repo.
In this Part 2 of series on Building AI / LLM Voice Action Agents, I show how to update Excel, Google Sheet and backend Databases with Natural Language commands with Voice Agents. Detailed hands-on implementation guide available on you tube. 45-minute video:
𝐒𝐨𝐮𝐫𝐜𝐞 𝐜𝐨𝐝𝐞, deployable ASIS, at Github. With JSON Schemas.
This source code deployed ASIS give a fully functional voice bot (with restricted app features).
𝐃𝐞𝐦𝐨 𝐀𝐩𝐩, available at
Use the demo OpenAI API key shared at:
tigzig.com/ap (password: genai123).
1. Replicating repo ASIS: 10 mins to Fork/ Clone. 1min to deploy Vercel.
2. Video Time : 45 min
3. Flowise Tool Setup with JSON Import: 15 min
4. Flowise ReAct Agent Setup with JSON import: 15 min
5. Make.com WorkFlow setup and Webhook connect: 30 min
6. FIRST GO-LIVE with Flowise Frontend with Voice Input
7. Copy ReAct Agent URL, Commit, Push and AutoDeploy= 5 mins
8. SECOND Go-Live with Full Voice Bot UI
Advanced features like latency reduction, voice activity detection, and auto-send-on-pause coming soon
Make.com provides easy integration with over 1000 platforms (like Zoho, Salesforce, AWS). FlowiseAI (YC S23) provides a powerful platform to rapidly deploy agents and agent teams plus ease of integration with Make.com as well as your own existing business API endpoints
𝐖𝐡𝐚𝐭 𝐭𝐡𝐢𝐬 𝐦𝐞𝐚𝐧𝐬:
With voice and text-based natural language, you can now interact with any of these 1000s of platforms, Data Warehouses, as well as your existing business technology API backend, to communicate, interact, and execute tasks. Fairly Rapidly.
𝐖𝐡𝐚𝐭’𝐬 𝐧𝐞𝐱𝐭:
Part 3: Google Script Automation
Part 4: Custom React Frontend
Part 5: More ReAct Agents in Flowise & Deploy to Vercel