Drag vs Hugo (Crisp): AI in the Inbox vs AI in the Widget (2026)

Hugo is Crisp's AI agent and, at $0.05 to $0.10 per handled conversation, the cheapest published rate in customer-facing AI support. Drag is a Gmail shared inbox with six AI assistants included in the seat from $18, no meter. Both exist because per-outcome pricing (Fin's $0.99) broke budgets, and both bet on MCP. The honest split: Hugo automates your chat widget inside Crisp; Drag puts AI inside the inbox where email-first teams already work. Here is the full comparison, including where Hugo genuinely wins.

What we agree on (and it is most of it)

Strip the branding and the two products share a worldview. Per-outcome AI pricing punishes exactly the teams AI should help most, so both price radically cheaper, just differently. Autonomous resolution claims are inflated across the industry, and to its credit Hugo's own case studies say 40 to 60 percent automation, not the 80-plus in most vendor decks; that matches what we tell readers to plan for. The winning pattern is hybrid, AI on routine volume with clean human handoff carrying full context, and both products are built around that handoff rather than pretending it away. And both companies made the same infrastructure bet: support runs through MCP. Hugo consumes MCP to reach your CRM, billing, and helpdesk so it can act rather than answer. Drag ships its own MCP server (43 tools) so assistants like Claude can operate the inbox itself. Same protocol, opposite ends of the pipe. If you are choosing between us, you have already decided AI is doing real support work; the question left is where it should live and how it should be billed.

Where the AI lives: the widget or the inbox

Hugo is customer-facing first. It was born in Crisp's chat widget, answers your customers directly across Crisp's channels, and escalates to humans inside Crisp's inbox. It is genuinely capable there: MCP tool access means it looks up orders and updates records instead of paraphrasing your FAQ, it is model-agnostic (Claude, ChatGPT, Llama, or your own), and setup is no-code. Drag starts from the opposite end: the inbox itself. The AI works alongside the team on the real support queue, drafting replies, classifying and tagging, summarising threads, reading sentiment, included in the seat, no meter. The customer-facing layer (help center, live chat, WhatsApp) is included, and Drag's own customer-facing agent is in early access. So the architectural question is honest and simple: do you want to automate the conversation your customers have with a widget, or equip the inbox your team already answers email from? Chat-led businesses will feel Hugo's pull; email-first Gmail teams are Drag's home ground.

The pricing mechanics, honestly

Hugo's headline rate is real and it is the cheapest published in the category, but the mechanics deserve plain statement, and all of this is from Crisp's own billing docs. Billing is token-based; $0.05 to $0.10 per conversation is Crisp's own average, and it moves with your model choice (Claude costs more, OpenAI less) and setup. A conversation means the full exchange until resolution or escalation, which is fair. Credits come bundled with Crisp plans ($5 on Mini, $25 on Essentials, $75 on Plus), expire every billing cycle on the 4th, and are consumed by testing, training, and Playground use, not just live conversations. When they run out, Hugo stops answering and escalates everything to your team, unless you enable Pay-As-You-Go, which, credit where due, supports spend caps. And Hugo exists only inside a Crisp workspace, so the real floor is Crisp's plan price, and multi-brand teams need a workspace each. Drag's model is one line: AI is included in the seat from $18, no meter, no expiry, no top-ups. Run the honest numbers. A 4-person team handling 300 AI conversations a month: Crisp Mini at $45 plus Hugo usage of roughly $15 to $30 (minus the $5 included) lands at $55 to $70 total; Drag Plus is 4 x $18 = $72. At 10 seats: Crisp Essentials at $95, whose $25 of included credits covers that volume almost entirely, comes to $95 to $100 against Drag's $180. On raw dollars, Crisp plus Hugo is cheaper at both sizes, and we have said as much on our own Crisp comparison. The catch is that the two AIs are doing different jobs for that money: Hugo's spend buys customer-facing deflection on 300 widget conversations, while Drag's included AI works on every email the team touches, drafting, tagging, and summarising across the whole queue with no meter running, plus the MCP server. Which job you need is the real question. And beyond the totals, the difference is not always the number itself. It is the meter's behaviour: month-end stops, expiring credits, and usage monitoring versus a flat number that never surprises you. Model both at your volume in the cost calculator.

Where Hugo genuinely wins

Straight up: if your support is chat-led, you are on Crisp (or happy to adopt it), and you want a customer-facing agent that acts on live data at the lowest published price anywhere, Hugo is the pick, and probably the category's best value. The MCP tool access is real capability, not marketing. Model choice is a genuine flexibility no rival at this price offers. EU hosting and GDPR posture matter for European teams. The spend caps show respect for budget control. And the honest 40-to-60-percent automation claims earn trust that inflated competitors squander. The watch-outs, equally sourced: G2 reviewers describe Hugo as feeling "like a guest" in Crisp's UI with lingering bugs, the Crisp mobile app has no AI at all, testing consumes paid credits, and everything you build lives and dies inside Crisp, the AI is not portable if you ever leave.

When Drag is the answer instead

If your support arrives mostly by email and your team lives in Gmail, the widget-first architecture is the wrong grain, and a metered customer-facing agent solves a problem you may not have. Drag equips the queue you already work: assignment, boards, collision detection, plus the six AI assistants in the seat, and its MCP server means you can run the inbox from Claude or ChatGPT (search, draft, assign, reply) today. No credits to watch, no month-end stop, no platform migration, it installs into Gmail. The customer-facing agent layer is coming (early access), and when it ships, the included-in-seat philosophy comes with it. (How MCP changes support covers the deeper shift both products are betting on.)