Guided project intake
A guided conversation captures the product idea, users, integrations, technical context, hosting preferences, budget, and relevant security or performance requirements before planning begins.
Zalcro
Zalcro is a pre-build planning tool for people building software with AI coding tools. It turns a plain-language idea into architecture documentation, diagrams, phased plans, Prompt Packs for vibe-coding tools, or dependency-ordered tickets for coding agents.
Pre-build planning for AI app development
Zalcro is a pre-build planning and spec-driven development tool for people creating software with AI coding tools. Users describe an app in plain language and answer guided questions about its users, integrations, technical requirements, hosting preferences, and constraints. Zalcro then maps the system before implementation starts, rather than writing application code itself.
The resulting plan includes an Architecture Design Document, a system diagram, and a phased implementation plan. Depending on the chosen workflow, users receive a sequential Prompt Pack for Lovable, Bolt, or Replit, or a dependency-ordered ticket backlog for Cursor, Claude Code, or Codex. The aim is to give an AI builder a stable reference for how components fit together and what should be built first.
Planning and delivery features
Architecture Design Document
The Architecture Design Document records system components, data models, architectural decisions, and tradeoffs as a reference for the build.
Architecture diagrams
A visual system map shows how the main parts of the application connect. Diagrams can be delivered in Mermaid and, on the Builder plan, exported as Draw.io XML.
Phased implementation plan
The implementation plan organizes work into dependency-aware phases, including what each phase builds, why it exists, and what completion should mean.
Prompt Packs for vibe coding
For Lovable, Bolt, and Replit, Zalcro generates prompts for each build phase so users can pass context to their AI builder in sequence.
Agent-ready ticket backlog
For Cursor, Claude Code, and Codex, Zalcro creates an ordered ticket backlog with acceptance criteria and architectural directives for agent execution.
Practical use cases
Plan a vibe-coded MVP
Before sending prompts to Lovable, Bolt, or Replit, a builder can clarify the app architecture and then paste phase-specific prompts in sequence instead of starting with isolated feature requests.
Prepare work for an autonomous coding agent
A developer using Cursor, Claude Code, or Codex can turn a product concept into dependency-ordered tickets with acceptance criteria and architectural guidance for an agent to execute.
Recover structure in an existing build
A team or individual restarting an unstable AI-generated project can document the intended components, data model, and tradeoffs as a reference for future changes and debugging.
Review a technical concept before coding
A founder or product planner can review the architecture document, diagram, and phased plan before implementation and share those artifacts with developers or stakeholders.
Create implementation handoff documents
A builder can export planning materials in formats such as Markdown, PDF, Mermaid, DOCX, or Draw.io XML, depending on the plan, for documentation and handoff.
Pros and Cons
Pros
- Creates architecture documentation and component relationships before prompting begins.
- Provides separate outputs for vibe-coding tools and agentic coding workflows.
- Produces dependency-aware plans, tickets, and prompts that can be reviewed and exported before implementation.
- Includes a free Starter tier and supports Markdown, PDF, and Mermaid exports.
Cons
- Zalcro does not write application code or function as a code editor; implementation still happens in a separate AI builder or coding agent.
- The free Starter plan limits users to one architecture generation per month and only the first Prompt Pack prompt, Phase 1 plan, and Phase 1 tickets.
- Teams, cross-project context sharing, repository ingestion, reverse architecture analysis, and multi-user workspaces are listed as unavailable or coming soon rather than current Starter or Builder capabilities.
FAQ
What is Zalcro?
Zalcro is a pre-build planning tool for AI app development. It turns a plain-language product idea and guided answers into architecture documentation, a system diagram, a phased implementation plan, and workflow-specific prompts or tickets.
Which tools and workflows does Zalcro support?
Zalcro supports vibe-coding workflows for Lovable, Bolt, and Replit, and agentic workflows for Cursor, Claude Code, and Codex. Its outputs can also be exported or used with tools such as Linear, Jira, ClickUp, and Google Drive where the selected plan supports those capabilities.
How does the planning process work?
You describe the product, users, interactions, integrations, team and technical context, hosting preferences, budget, and relevant security or performance requirements. Zalcro asks focused follow-up questions, then generates the planning documents and downstream build outputs.
What outputs are produced for each workflow?
Vibe-coding users receive a phase-based Prompt Pack intended to be pasted into Lovable, Bolt, or Replit in sequence. Agentic builders receive dependency-ordered tickets with acceptance criteria and architectural directives for use in Cursor, Claude Code, or Codex.
What is included in the available plans?
The Starter plan is free and includes one architecture generation per month, a Phase 1 implementation plan, Phase 1 tickets, the first Prompt Pack prompt, and Markdown, PDF, and Mermaid exports. The Builder plan adds unlimited architecture generations, full plans, all tickets and prompts, additional export formats, and Google Drive integration.
Quick Facts
- Category
- Developer Tool
- Primary users
- AI app builders, vibe coders, and agentic developers
- Workflow outputs
- Prompt Pack or dependency-ordered ticket backlog
- Supported builders
- Lovable, Bolt, Replit, Cursor, Claude Code, and Codex
- Free plan
- Starter: $0/month
- Paid plan
- Builder: $19/month or $15/month billed annually
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