Designing Enterprise UI Without Figma

Figma is the gold standard for product design - that’s how the world works. But what if any designer could go from an idea to production-ready UI/UX without ever touching Figma?

At FlytBase, we’ve embraced this new reality with an AI-powered engine. We’ve cut down design cycles from weeks to hours. No more pixel-pushing and no more back-and-forth between design and dev. .

Why This Matters

Product design has traditionally been a long relay race: PM writes PRD → Designer builds in Figma → Dev interprets → QA checks fidelity → Everyone hopes it works.

That entire pipeline is now compressible. With AI, one person can brainstorm, scope, generate production-ready UI, and even pass code directly to engineers — all without writing a single line themselves.

What used to take five people and four weeks now takes one person and a few hours.

The Problem

The traditional product development chain was full of handoffs:

PM writes PRD, then hands off to designer
Designer builds in Figma, then hands off to developer
Developer builds, hoping to match what’s in Figma
UX logic, edge cases, and copy often missed or poorly documented
Many ideas get miscommunicated or lost in translation

This process is slow, fragile, and hard to scale — especially for smaller teams building enterprise-grade products.

The AI-Native Solution

We built a full-stack design-to-dev workflow using:

Claude for PRD writing, UX logic, edge-case handling, and prompt chaining
Lovable and V0.dev for generating full UI with real code
A custom prompt system for consistent style, design system compliance, and UX clarity
Claude as a code verifier to maintain standards and component usage

This meant we no longer needed Figma to design — and no longer needed a large team to ship UI.

Step-by-Step Breakdown

Step 1

Use Claude for Deep Contextual Thinking

We started by setting up Project Knowledge inside Claude: domain constraints, safety standards, UX do’s and don’ts. This enables the LLM to start thinking like you.
We prompted Claude to brainstorm flows, logic, thresholds, UX copy, and feature edge cases.
Claude generated a scoped PRD, UX decision table, copy for each state, and priority logic — all ready to hand off.

Step 2: Claude Generates Developer-Ready Logic

One structured prompt delivers a complete decision matrix including states, thresholds, priority, copy, recommended actions.
Output can be directly handed off to backend engineers. No UX QA rounds needed.
The logic and UX clarity was significantly better than most manually written documents.

Step 3: From Logic to UI via Lovable

Lovable is an AI-driven platform that enables users to build web applications by describing their desired features and functionality in natural language.
We asked Claude to write Lovable prompts for us. It broke the product scope into sequences of prompts that could be copy-pasted directly. Each prompt produced solid UIs with correct interactions and flows.

Step 4: Align With Design System and QA

We set prompt guardrails around styling, component libraries, and layout logic. Claude was instructed to generate UI using our internal tokens and systems.
While we haven’t automated code review fully yet, Claude is being used to verify compliance against our system.

What Changed

Earlier, building a frontend required multiple people, two to three weeks of design, and heavy QA cycles. Now, a single person scopes, builds, tests, and hands off code — often in the same day. UX edge cases are now consistently captured. Visual output is design-system aligned. No need for Figma. No delays. No back-and-forth or communication gaps.

What You Can Steal

Use Claude as a product thinker, not just a copywriter. Feed it real-world safety specs and flows — it’ll return better logic than most spec docs.
Let Claude write the prompts for other tools. We used it to generate Lovable-ready instructions, breaking our scope into promptable chunks.
Think in full-stack workflows. Don't automate a single step — automate the chain: idea to PRD to UI to codebase.
Codify your design system inside your prompts. Claude can generate token-aligned UIs if you tell it how.
Don’t wait for polish. Even with image placeholders and some manual QA, this system moves faster than any traditional design flow.

Final Thought

The goal of using AI isn’t to let go of human creativity. The goal is to collapse the time between an idea and a live product.

With the right prompt architecture and AI stack, you can skip layers that used to feel permanent — like Figma, design QA, and handoff docs.

We’re not saying every feature needs to start this way. But if your design process still begins with a blank canvas and ends with a Slack message to engineering — don’t waste a week in the process. Move at AI speed.

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