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Python boilerplate for quickly building and monetizing AI-powered Telegram bots, with payments, DALL-E images and multi-model support.
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Open-source testing platform where AI agents drive your app end-to-end to catch regressions on every PR, no test code needed.
Japanese no-code chatbot platform for LINE, web chat, and LINE WORKS with hands-on setup and operation support.
No public pricing
No public pricing
- ✦Python boilerplate for AI Telegram bots
- ✦Switch between 5 models including GPT-4o
- ✦Multimodal input (voice notes, images, text)
- ✦Telegram payments and subscription integration
- ✦MongoDB storage and access control
- ✦DALL-E 3 image generation and predefined agents
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦AI agents navigate your app in real browsers
- ✦One-command setup that maps flows and drafts tests
- ✦SDK to seed and tear down real data
- ✦Runs on every PR against preview deploys
- ✦No test code required
- ✦Open-source with a self-hosted option
- ✦Integrates with GitHub, Vercel and Linear
- ✦No-code chatbot builder
- ✦Support for LINE, LINE WORKS, and web chat
- ✦Automated Q&A, scoring, and data updates
- ✦API and system integrations
- ✦Hands-on setup and operation support
- ✦Reporting and optimization
- →Ship a monetized AI Telegram bot quickly
- →Build community-specific AI agents
- →Add paid subscriptions to a bot
- →Offer image generation inside Telegram
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Catching regressions before merging PRs
- →End-to-end testing without writing scripts
- →QA for fast-shipping product teams
- →Self-hosted testing on your own infrastructure
- →Acquire new customers (MA/ROAS)
- →Activate existing customers (CRM/LTV)
- →Automate external inquiry handling
- →Streamline internal workflows