Twin.so Builds No-Code Autonomous AI Agents
Describe tasks in plain English to Twin.so; it auto-builds, connects APIs like Supabase, deploys agents for content repurposing or lead gen that run 24/7 with daily reports.
Prompt in Plain English to Auto-Build Agents
Twin.so's orchestrator acts as a chat-based control hub: input natural language like "create an autonomous content repurposing agent for YouTube videos to TikTok clips" and it scaffolds the full system. It prompts for details (e.g., Supabase API key for storage), connects tools autonomously, and generates previews. Agents handle end-to-end: transcribe videos via extraction tools, store key ideas/quotes in databases, output clips. Result: paste a URL, get emailed viral clips (e.g., NotebookLM-Gemini integration snippet) without manual intervention. For reliability, approve components before deployment—test triggers, schedules (e.g., daily at 9 AM), and functions via orchestrator commands like "test the content agent."
Workspaces organize agents as folders for personal tasks, clients, or departments; run multiple asynchronously, monitor via feed visualizing current runs and requests (e.g., "build UI interface?").
Scale to Full Business Pipelines Like Lead Gen
Target complex ops: prompt "build autonomous B2B lead gen agency—find web design/marketing needs, collect contacts, send personalized cold emails, follow up, track in spreadsheet, book calendar meetings, daily reports." Twin asks clarifying questions (target industries? email templates?), then executes: uses Appify Lead Finder for 20 public leads/day (websites, contacts), handles outreach/calls, post-processes replies. Outcomes: dashboard shows total leads (e.g., 2 interested, 18 no reply), books meetings, emails reports. No sales team needed—full pipeline autonomous, tweak pitches based on response rates.
Clone featured agents (CRM sync, web scraper, email sender) as starters, customizing via previews.
Deployment Trade-offs and Best Practices
Free signup (Google/email), no-code beats Zapier/n8n complexity. Upload files/context for precision; detailed prompts yield better results. Pre-deploy checks prevent failures: verify API auth, test invokes. Triggers: manual UI dashboards, scheduled runs, or email approvals (e.g., auto-scrape new channel videos, Gmail confirm, post clips). Limits: results vary by prompt quality, market, maintenance—test rigorously, as individual setups differ. Start small (personal automations) before business-scale.