From User Story to Interactive SLDS Prototype in Minutes
The Salesforce-native prototyping engine for Business Analysts, Consultants, and Solution Architects. Turn Jira stories into clickable SLDS applications and reverse-engineer functional specs with Gherkin acceptance criteria.
Acme Global Expansion — 500 Enterprise Seats
Acme Corporation
- Account NameAcme Corporation
- Close Date10/31/2026
- Amount$250,000.00
- Opportunity OwnerSandeep Ramineni
Verify that pricing terms have VP approval and procurement timeline is documented.
Notes & Attachments (0)
Or drop files
Contact Roles(2)
| Contact Name | Role | Primary | |
|---|---|---|---|
| Sarah Jenkins | Economic Buyer | s.jenkins@acme.com | Yes |
| David Chang | Technical Evaluator | d.chang@acme.com | No |
Quotes & Proposals(1)
| Quote Number | Status | Grand Total | Expiration |
|---|---|---|---|
| Q-004812 | In Review | $250,000.00 | 10/31/2026 |
Activity Timeline
2 itemsThree Ways to Build. One Unified SLDS Engine.
Whether you are sketching an initial discovery idea, parsing an existing Jira backlog, or assembling a custom layout by hand, SFProto adapts to your workflow.
Mode 1: AI BA Discovery Engine
Describe business processes, sales paths, or support workflows in plain English. The AI engine acts as a Senior Salesforce Architect, generating full SLDS schemas instantly.
- Understands Salesforce data model and object relationships
- Auto-configures Sales Path chevrons and guidance notes
- Generates related lists, action buttons, and activity feeds
Mode 2: Agile Jira Story Parser
Copy-paste raw Jira tickets, Confluence specs, or user stories formatted with "As a... I want... So that...". The parser automatically detects fields, picklists, and stages.
- Extracts field types, validation rules, and required flags
- Turns bulleted acceptance criteria into live UI elements
- Bridges the gap between Scrum planning and stakeholder review
Mode 3: Visual Palette & Inspector
Assemble prototypes block-by-block using our visual component palette. Modify field types, change column counts (1-Col vs 2-Col), and configure modal dialogs in real time.
- Drag-and-drop or click-to-add standard SLDS components
- Inspect and tweak properties in the right-side studio panel
- Two-way sync between visual canvas and declarative JSON spec
Turn Prototypes into Production-Ready Jira Stories & Tech Specs
Never write repetitive data dictionaries or functional acceptance criteria manually again. With one click, SFProto inspects your interactive canvas and compiles clean, copyable specifications ready for development.
Tabular Data Dictionary
Extracts field API names, types (lookup, formula, picklist), required flags, and conditional visibility triggers.
Gherkin Acceptance Criteria
Auto-synthesizes behavior-driven Given / When / Then scenarios for form validation and stage progressions.
Confluence & Jira Ready
One-click clipboard copy formatted with GitHub Markdown or Jira markup, plus downloadable `.md` files.
| :--- | :--- | :--- | :---: | :--- |
| **Opportunity Name** | `f1` | `text` | ✅ Yes | Default: "Acme Expansion" |
| **Stage** | `f-stage` | `picklist` | No | Options: `Prospecting`, `Quote` |
| **Loss Reason** | `f-loss-reason` | `picklist` | No | *Hidden unless `f-stage` equals `Closed Lost`* |
Choose the Right Plan for Your Salesforce Workflow
Test with 1 free prototype. Upgrade to Pro for unlimited Jira exports, Confluence iframe embeds, and cloud persistence.
Free Trial
1 PrototypeIdeal for evaluating SFProto and testing the interactive SLDS canvas.
Pro Plan
Most PopularFor Salesforce BAs, Consultants, and Architects delivering client projects.
Enterprise
Teams & OrgsFor Salesforce system integrators and enterprises requiring dedicated AI isolation.
Everything You Need to Know
Answers to common questions about Salesforce prototyping, trial limits, and embed security.