Duvi vs Janitor AI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Duvi and Janitor AI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Duvi
Duvi DigiIQ, Inc.
Build voice and chat support agents by describing them in conversation; one configuration answers on your website, WhatsApp and phone line.
Key features
- Conversational Agent Builder: Creating an agent opens a conversation with a builder that writes the system prompt, picks a model and ingests the websites the agent should answer from, so setup is a dialogue rather than a configuration form.
- Unified Omnichannel Configuration: One agent configuration serves website chat, a WhatsApp number and a phone line, with the same knowledge behind every channel so context is not lost when a customer switches.
- Live Knowledge Lookups: The agent checks your connected store as it answers, so stock and catalogue responses reflect what is actually available at that moment rather than a stale snapshot.
- Website Actions: With the customer's instruction the agent operates the on-page controls you allow, completing the task in front of them instead of handing them a link and instructions.
- Grounded Answering: The agent answers from the pages you point it at and says so when the information is not there, rather than guessing.
- Preview Before Launch: Agents are tested in Preview and only go live once the domain is allowed and a snippet is pasted on your site.
- Broad Connector Library: Sign-in level integrations for Shopify, WooCommerce, Wix, Salesforce Commerce Cloud, Stripe, PayPal, Notion, Airtable, Webflow, Linear, monday.com, Sentry, Supabase, Cloudflare and Zapier.
- Team Workspace: Staff query the day's conversations and orders through their own authorized connection, so the answer reflects the order a customer placed moments ago.
Best for
- Ecommerce Support Deflection: A Shopify store answers stock, shipping and returns questions automatically, with the agent reading live catalogue data instead of a static FAQ.
- Lead Capture With Context: An agent takes a caller's email or number and routes it to the team with the whole conversation attached, so nobody asks the customer to repeat themselves.
- Phone Line Replacement: A small team replaces a recorded phone menu with an agent that answers real questions using the same knowledge base as the website chat.
- WhatsApp Commerce: A brand serving customers primarily on WhatsApp runs the same support agent there without maintaining a separate bot.
- Startup Support Coverage: An early-stage team keeps answering customers around the clock while engineers focus on building the product.
- Enterprise Support Augmentation: An established support operation adds agents to an existing stack via connectors rather than replacing its tooling.
Janitor AI
Janitor AI / JanitorAI.com
Web-based platform for scripted, character-driven roleplay chats powered by large language model backends.
Key features
- Script-Based Roleplay: Enables creation and execution of scripted character roleplays with custom prompts, behaviors, and branching conversation logic to shape character responses.
- Character Hosting and Sharing: Hosts user-created character pages and dialogues so other users can discover, load, and interact with predefined characters.
- OpenAI/API Backend Integration: Uses external LLM backends (e.g., ChatGPT/OpenAI API) for generation, requiring API connectivity and subject to provider rate limits and account restrictions.
- Low-Moderation Environment: Operates with minimal content moderation, allowing broad creative expression and experimental content but increasing content-safety risks.
- Web Chat Interface: Provides a browser-based chat UI optimized for interactive roleplay with characters and scripted scenarios.
- Third-Party Extensibility: Strong community ecosystem including scrapers, proxies, and integrations to export characters, automate interactions, or route traffic around regional or rate limits.
- Web-hosted conversational character pages with chat UI
- Script-based roleplaying support for defining character behavior and responses
- Minimal built-in moderation (user-generated content may be unrestricted)
- Commonly accessed via HTTP scraping or reverse-engineered endpoints
- Works with proxy layers to mitigate region locks, bans, or rate limits
- Often integrated into developer workflows using Dockerized scrapers and npm frontends
- Can be combined with external LLMs/APIs (e.g., OpenAI) via intermediary tooling, though no official public API is documented
Best for
- Interactive Storytelling: Run multi-turn, character-driven narratives where authors script personalities and responses to create immersive roleplay sessions.
- Character Prompt Development: Design and iterate on character prompts and behaviors to tune personality, tone, and response patterns for entertainment or testing.
- Content Extraction and Backup: Use community scrapers to export character definitions and conversation scripts for local analysis or preservation.
- Bypassing Regional/Rate Limits: Employ third-party proxies or IP-rotation tools to maintain access and performance when facing regional blocks or API rate limits.
- Rapid Prototyping of Conversational Agents: Prototype persona-driven chatbots by composing scripted characters and testing interactions in a live web interface.
- Community Sharing and Discovery: Share notable characters publicly so others can load, rate, and continue conversations for collaborative roleplay.
- Interactive roleplay and character chat for end users
- Extraction/scraping of character scripts for use with local or hosted LLMs
- Testing and evaluation of conversational agents and personas
- Feeding character personas into LLM pipelines or fine-tuning datasets
- Developer automation where proxies and IP rotation are used to scale interactions