Duvi vs YAGNI: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Duvi and YAGNI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Duvi

Duvi DigiIQ, Inc.

Freemium

Build voice and chat support agents by describing them in conversation; one configuration answers on your website, WhatsApp and phone line.

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.

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.

Freemium

Managed AI agent Teams with responsibilities, a number, and commitments — earn autonomy rule by rule, with receipts and playbooks.

Managed Agent Teams: Each Team owns a real part of the business with written Responsibilities, one Number it is measured on, and time-bound Commitments.
Playbook Learning: Human edits to drafts are captured as Playbook rules, so the Team's method improves and the next draft needs fewer corrections.
Training → Supervised → Autonomous Ladder: Agents earn authority rule by rule based on their track record, with per-Playbook rules bounded and logged.
Decision Queue with Receipts: Consequential calls are staged as Decisions with confidence scores; routine work runs on its own and leaves a Receipt pulled from Stripe, Gmail, Calendar, and other sources.
The Front Shared View: A single dashboard shows where the business stands right now, so humans and Teams operate from the same live picture.
Plays for Multi-Step Work: For bigger swings, a Team proposes a Play with goal, steps, budget, and deadline that runs over days once approved, still leaving Receipts at every step.
Stack-Native Integrations: Connects to Slack, Gmail, HubSpot, Stripe, GitHub, Notion, Linear, and Calendar and ships approved work back into those systems.
YAGNI Code for Engineering Teams: When work is code, Teams open pull requests with tests green and await review just like a human contributor.

Sales Pipeline Ownership: A Sales Team sources leads, books ICP-qualifying meetings, and keeps the CRM current under a monthly qualified-meetings Number.
Support Operations: A Support Team triages tickets, drafts replies, and stages refund Decisions for reversible-vs-consequential judgment calls.
Customer Success and Renewals: A CS Team drafts renewal replies, tracks at-risk accounts, and files pipeline updates for leadership.
Revenue Ops and Reporting: A Revenue Team files structured updates on pipeline movement and payments, tying results back to Stripe receipts.
Engineering Toil: A Code Team opens PRs for well-scoped fixes, with tests green and human review before merge.
Operations Backlog: An Ops Team handles routine, reversible work (scheduling, follow-ups, data hygiene) autonomously once its Playbook is trusted.