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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.

Dust logo
Dust
✓ verifiedFree

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

692K visits/mo
MuleRun logo
MuleRun
✓ verifiedFreemium

Always-on cloud AI agent that runs multi-step workflows and monitoring on a dedicated 24/7 VM to automate business tasks.

908K visits/mo
Pricing
Starter: $99 one-time (10 AI agents)
All-in: $129 one-time (50 AI agents)

No public pricing

Free: $0 (200 daily bonus credits, 10 tasks)
Plus: $16/mo (2,000 credits/mo)
Super: $32/mo (4,500 credits/mo)
Pro: $160/mo (23,000 credits/mo)
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
  • 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
  • Always-on agent on a dedicated 24/7 VM
  • Multi-step task automation (docs, PPT, video, research)
  • Proactive monitoring with alerts and actions
  • Shared/self-improving agent knowledge network
  • Page deployment and drive storage
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
  • 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.
  • Automating recurring business workflows overnight
  • Generating reports, documents and presentations
  • Monitoring uptime, pricing or metrics with auto-actions
  • Running research and content tasks hands-off
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