AI tool buying guide

AI workflow stack for design to prototype to deploy

Start with Figma Make when design-system context is the source of truth, use v0 when the team already wants a Vercel-native front-end path, choose Bolt or Lovable for faster prompt-to-app iteration, and keep Replit in the stack when hosted execution and handoff matter more than design fidelity.

Which stack turns design context into a shippable prototype without losing implementation handoff, deployment path, or budget control?

Target
team · automation
Default team size
8 seats
Last verified
Jun 4, 2026
Last verified: Jun 4, 20264 official sources

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Stack map by stage

Answer a different decision question at each workflow stage

Each stage shows the input, output, recommended tools, and review date together.

01 / StageDesign context intakeDoes the tool preserve design-system context before code generation starts?Reviewed Jun 4, 2026
Input
Design file, component intent, product brief, and brand constraints
Output
Buildable prototype brief

Figma Make is the design-native starting point. v0 is stronger when the desired output already belongs in a Vercel-style front-end workflow, while Lovable is useful when the brief is product-led rather than file-led.

02 / StagePrototype generationDoes the first pass produce a prototype stakeholders can actually inspect?Reviewed Jun 4, 2026
Input
Buildable brief and interaction requirements
Output
Clickable or runnable first prototype

Bolt and Lovable are the faster prompt-to-app paths. v0 stays better when the prototype is mostly interface generation and should stay close to Vercel deployment.

03 / StageImplementation handoffCan engineering take over without rebuilding the prototype from scratch?Reviewed Jun 4, 2026
Input
Prototype, generated code, environment assumptions, and open issues
Output
Repo-ready implementation plan or branch

Replit matters when generated work needs hosted execution and a handoff surface. v0 is better for Vercel-centered front-end handoff, and Cursor fits when developers will immediately harden the generated code.

04 / StageDeploy readiness and iterationIs this prototype good enough to ship, or only good enough to learn from?Reviewed Jun 4, 2026
Input
Working prototype, feedback, cost assumptions, and launch blockers
Output
Ship, rebuild, or pause memo

The deployment decision should separate fast demo value from durable production ownership. v0 and Replit are lower-risk when the hosting path matters; Bolt remains useful for rapid iteration before the final handoff.

Recommended stacks

Choose by deployment style, not by a single universal winner

Each stack shows its primary and optional tools, cost notes, and overlap warnings.

Design-native prototype stack

Product teams that start from Figma context and need a credible prototype before engineering commits

Figma Make preserves design intent, v0 gives a Vercel-native front-end path, and Replit provides a hosted execution and handoff surface when the prototype needs to run.

Cost signal

Do not buy every builder seat by default. Assign Figma Make to design-led starts, v0 to front-end/Vercel owners, and Replit or Bolt only where runnable app iteration is part of the weekly workflow.

Published starting price for Figma Make + v0 + Replit: about $71/seat/month.

  • Figma Make, v0, Bolt, Lovable, and Replit can all generate prototype surfaces; paying for all of them usually creates duplicated experimentation seats.
  • A fast prototype is not the same as a production handoff; keep Cursor or normal repo review in the path when generated code will be owned by engineering.

Stack economics

Estimate cost and change risk with the default team size

This panel uses published self-serve pricing only. Quote-only and usage-credit gaps are shown as caveats. Detailed per-tool breakdowns are available in the calculator.

Default team size
8
Monthly estimate
$1,128
Change impact score
80 - The highest alert priority is update, so the score is 80. Scale: urgent=95 / update=80 / review=55 / watch=25.
  • Replit: No published team monthly price is available, so the comparison falls back to individual pricing.
  • Replit: No published team annual price is available, so the comparison falls back to individual pricing.
Open in calculator

Buy / switch / wait rules

Reduce the stack decision to three actions

These rules combine the recommended stack, overlap warnings, and recent change alerts into the next buying action.

Buy

Start with Figma Make + v0 + Replit

Product teams that start from Figma context and need a credible prototype before engineering commits Figma Make preserves design intent, v0 gives a Vercel-native front-end path, and Replit provides a hosted execution and handoff surface when the prototype needs to run.

Switch

Re-check v0

Teams comparing v0 against Figma Make, Bolt, Lovable, or Replit should model v0 as a Vercel-native workflow with per-user subscriptions plus credit consumption, not as a flat app-builder subscription. Update the decision memo before sharing this stack.

Wait

Do not add seats until the bottleneck is clear

Figma Make, v0, Bolt, Lovable, and Replit can all generate prototype surfaces; paying for all of them usually creates duplicated experimentation seats.

Decision artifact

Save this workflow stack and share the decision memo

Save a stack with the default team context into the local watchlist, then copy a decision memo that includes current change impact.

Evidence layer

Explore the existing comparison, pricing, and alternatives pages

The workflow page frames the decision; supporting evidence lives in AgentHub's comparison, pricing, and alternatives pages.

Alert rules

Track when recommendations change, not just when a vendor updates something

Workflow alerts track price, plan, governance, overlap, fit score, and memo refresh changes.

overlap / medium

Refresh the memo when two selected builders now cover the same prototype stage well enough that one seat can be removed.

fit-delta / high

Refresh the memo when generated-code handoff, repo export, hosting, or deployment behavior changes enough to alter the recommended stack.

FAQ

Questions buyers ask before they commit

These answers stay close to the pricing, rollout, and fit questions that come up most often during evaluation.