Practical field guides, tested workflows, and honest notes from building with AI.
The FinishUI Resource Hub
Prompts, visual checklists, agent workflows, and learning paths for builders whose app works but whose UI still feels inconsistent.
Start with the problem you have
Both paths use the same FinishUI library. The difference is the lens: implementation or design judgment.
Vibe coder pathFor founders and AI product builders
Start with reference extraction, component rules, agent workflows, and the repos that help you implement the fix.
UI/UX specialist pathFor designers working with AI tools
Start with visual hierarchy, component states, responsive boundaries, and the checks that make a route feel intentional.
Five practical free resources
No generic prompt dump. Each drop solves one visible part of the AI UI cleanup workflow.
Three resources, ordered for the way you work.
Eight copy-ready prompts for diagnosis, rules, repair, mobile, and verification.
Open the kit 02 / ReviewUI ChecklistsSix named checks for the route that works but still feels visibly unfinished.
Run the checks 03 / SystemAgentic UI MapsTwo polished diagrams for a human-approved UI enhancement workflow.
See the maps 04 / ShipSkills + ReposOfficial starting points with a clear best use and an honest limitation.
Browse the shelf 05 / LearnFounder WatchlistCurated learning paths for UI fundamentals, systems, and AI product shipping.
Choose a pathAlready know what feels wrong? Send one buyer-owned public route for a free FinishUI scan.
Search the whole hub
6 resources
Six practical checks for finding and fixing visible drift without redesigning the whole app.
Read the guideTurn one-off corrections into named tokens, component states, and responsive behavior.
Read the guideCurated prompts, skills, agents, repositories, and tools with a clear best use and limitation.
Open the libraryWatch one synthetic route move from visible drift to a shared correction and same-condition recheck.
Open the demoA candid operating lesson from building FinishUI with agents while keeping buyer evidence in charge.
Read the field noteSee the working hypothesis and signal interest before FinishUI commits a larger build.
See the research conceptNo resources match that search yet. Try a broader term or reset the filters.
Start here
A practical route-level method for checking type, color, spacing, controls, mobile behavior, and named accessibility signals without redesigning the whole app.
Free Builder Library
Tools, Prompts, Skills, Agents, and Repos selected for people building client-facing AI products. Every entry includes the best use, why it earned a place, the important limitation, and the current relationship label.
Free interactive demo
Open the same synthetic route FinishUI uses to demonstrate the workflow. See the visible inconsistencies, the shared correction, and the same-condition recheck without uploading code or creating an account.
Synthetic demonstration. Not a customer result, accessibility audit, or guarantee.
FinishUI editorial standard
Show the fixture, checks, conditions, and limitations behind each published result.
Point technical claims to primary documentation. Label community language as anecdotal.
Explain how each guide was researched, where AI assisted, and who approved the final page.
Synthetic proof stays synthetic. We do not turn a test fixture into a customer outcome or a guarantee.
Builder's log / entry 001
What we learned building FinishUI with agentsThe agents kept improving the test. The business still needed a customer.
FinishUI was built with an agent-led operating system. That made it easy to add another benchmark, another review, and another layer of proof. The uncomfortable lesson was simpler: a strong internal test can reduce risk, but only a buyer can prove demand.
So we kept the truth and safety gates, froze the offer, and made real buyer evidence the next requirement. These field notes will show the decisions, failures, corrections, and evidence as the company earns them.
Research concept / no payment
We are researching a recurring UI drift monitor that checks the same declared interface rules after every meaningful change. Join the research list to help shape the scope and receive prototype updates first if it earns a build slot.
New research lanes
These stay behind the buyer-intent cleanup cluster. They publish only when each guide has a complete reader outcome and real sources.
Move from reference and shared rules to implementation and a same-condition visual recheck.
A no-hype pathway for showing evidence, process, and judgment while learning UI/UX or AI product design.
One live guide / three research angles
The reusable-rules guide is ready for this release. The remaining entries are queued research angles, not published pages. Each ships only after it has distinct intent, real sources, and a complete reader outcome.
Turn one-off prompts into named tokens, component states, and responsive behavior.
A route inspection order that separates visible evidence from taste.
How to make screenshot baselines useful without pretending every pixel change is a bug.
Choose the smallest scope that resolves the client-review risk without buying work you do not need.
