Finesse by Skippr AI - AI Product Refinement, Right in Your Browser
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AI agent that catches design, copy, and accessibility issues before you ship. Works on Localhost, Production, Figma, Lovable, Replit & more. Syncs with coding agents via MCP.
Finesse reviews every screen against UX and product best practices, then gives you real-time feedback. See annotations directly on your UI, generate shareable reports with one click, or create tickets for Linear and Jira. Need deeper feedback? Talk to your AI design lead - the deepest product critique agent available.
Replies
NerdyNotes
Love this. That Live Mode chat sounds good. Can’t wait to try it! 👏
Does it generate a generic review or are there different modes to test certain things?
Mentor by Skippr AI
@pasha_tseluyko Great question! There are different levels of review: four topic-based agents and one “Head of Design” agent (the multimodal, real-time voice agent), which provides more strategic feedback.
Regarding generic vs. customized feedback, we already allow you to signal your preferences. For example, when you reject an issue, you can explain to Finesse why, and that context will be taken into account. In the future, we plan to offer more customization options, but keeping the experience simple was a key priority early on.
Love the MCP integration idea — feedback loop straight into coding agents is smart. Does Skippr prioritize issues by severity, or does it dump everything at once? Curious how it avoids overwhelming Cursor/Claude with minor nitpicks vs critical UX blockers.
Mentor by Skippr AI
@andreiboldyrev Thanks! This point was critical when designing the service. We decided to start by giving you a short summary of the most important insights. From there, we surface up to 12 issues (though we often detect more) in the Issues tab, prioritized by severity. You can also reorganize them by topic.
This is our second iteration, and it’s still a work in progress. We also provide an online, shareable report where we have more flexibility. Importantly, through the chat you can ask the agent to elaborate on or explain any issue—so it’s not just a passive report.
Humantic AI
Will Skippr agents eventually specialise beyond product feedback? E.g., architecture reviews, UX audits, testing strategies?
Mentor by Skippr AI
@ayushkumar1610 For now, we're pretty focused on product feedback however, we're also exploring areas across QA and other forms of visual-based feedback. Keen to hear what areas you have in mind though!
Lancepilot
Mentor by Skippr AI
Hey @odeth_negapatan1!
Really good questions- right now, we're more focused on supporting existing workflows. Replacing traditional specs/PRDs is definitely a talking point in many product/engineering circles at the moment, given the rise of vibe coding and such. Ultimately, I think it's a wider cultural question for organisations to abandon PRDs/specs, as it comes down to how certain teams prefer to work. I think Skippr can be useful in both instances.
Kaily
Love it! The amount of messages i send after a page goes live about how we still need to fix x and y and z. And the messages, screenshots, recordings i get from people saying, how could we go live! this is breaking....ughhh.
Triforce Todos
This is such a real problem. Everyone talks about AI speeding up build time, but nobody talks about how slow review still is.
Mentor by Skippr AI
@abod_rehman Yeah, reducing product reworks is something we're looking to impact directly for teams.
superfill.ai
How does Skippr scale with team size? Is it more useful for tiny teams or also mid-sized engineering orgs?
Mentor by Skippr AI
@mikr13 Great question! To be honest, it’s valuable for both—but in different ways. For small teams without a lead designer, UX, or accessibility expert, this can be the only quality control on UX and product issues before shipping.
For mid-sized teams, it can’t replace the final go/no-go decision by the Head of Design, PMs, or accessibility experts. However, it can significantly reduce rebuild cycles and shipping delays by preparing builders, engineers, and PMs ahead of the actual design review. Based on my estimation, it can save weeks of time.
Can it read session data to perform analytics
Mentor by Skippr AI
@benjaminmbrown This is super interesting direction. Please explain how do you see this working
Agnes AI
Skippr seems to be an agentic version of QA！Nice angel to dive in - congrats team!