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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Botfast logo
Botfast
✓ verifiedPaid

Python boilerplate for quickly building and monetizing AI-powered Telegram bots, with payments, DALL-E images and multi-model support.

Gumloop logo
Gumloop
✓ verifiedFreemium

No-code platform for building and running AI agents that automate work across data, sales and support tasks.

701K visits/mo
Dust logo
Dust
✓ verifiedFree

AI assistant for teams with secure LLM and company-knowledge access.

692K visits/mo
Pricing
Starter: $99 one-time (10 AI agents)
All-in: $129 one-time (50 AI agents)
Pro: $37/month (20k+ credits/month, unlimited seats)

No public pricing

Core features
  • 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
  • Unified and safe access to GPT-4
  • Connection to team's data for up-to-date answers
  • Customizable AI agent building without code
  • Team collaboration features for sharing prompts and conversations
  • Suggestions for documentation updates and improvements
Use cases
  • 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
  • RevOps & Sales: Create customer profiles, flag at-risk deals, analyze calls, generate SQL.
  • PMM & Marketing: Write on-brand content, create consistent messaging, translate content, extract insights.
  • Customer Support: Connect to knowledge base, identify product improvements, auto-create FAQs, provide real-time guidance.
  • Product & Design: Improve product copy, analyze customer sentiment, extract competitor insights, generate user stories.
  • Engineering: Review code, auto-create docs, compile incident timelines, generate SQL.
  • Data & Analytics: Enable non-technical teams to query data, automate reporting, transform insights, connect data sources.
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