Fotor

WORKING SLICE
Import a photo, crop and adjust exposure/color, add text and compose a simple graphic from reusable layouts. Keep optional background-removal processing separate and clearly identify where images are sent.

Build this scoped Fotor-inspired workflow with a documented data model and visible failure states.

Architecture
- Vite, React and TypeScript with SVG for diagrams or a Canvas rendering adapter for raster assets.
- IndexedDB for projects and revisions; versioned JSON documents with stable object IDs.

Prerequisites and limits
A supported Node release for development and a modern browser. Ship a static bundle that can work locally without an account.
Outside this release: cloud collaboration and mobile apps; high-fidelity color, format, and export handling

Data model and correctness
source images, layers, adjustment parameters, masks, text blocks and export dimensions
Invariant: Original pixels stay immutable; adjustments are reversible and an AI transformation cannot silently replace the base layer.
Represent edits as reversible commands, debounce autosave, and persist a complete project snapshot before destructive structural changes.

Security and privacy
Sanitize imported SVG, reject external scripts and oversized assets, and require user selection before reading local files. Keep document contents out of telemetry.

Recovery and export
Export editable JSON with assets and an SVG or PNG rendering. Reopen the editable export to retain layers, relationships and IDs; image exports alone are not backups.

Implementation order
1. Phase 1 — Scope and fixtures. Implement this bounded workflow: Import a photo, crop and adjust exposure/color, add text and compose a simple graphic from reusable layouts. Keep optional background-removal processing separate and clearly identify where images are sent. Record prerequisites, select representative user-owned fixtures and document the unsupported features: cloud collaboration and mobile apps; high-fidelity color, format, and export handling
2. Phase 2 — Durable model. Model source images, layers, adjustment parameters, masks, text blocks and export dimensions Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: Original pixels stay immutable; adjustments are reversible and an AI transformation cannot silently replace the base layer.
3. Phase 3 — Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Represent edits as reversible commands, debounce autosave, and persist a complete project snapshot before destructive structural changes.
4. Phase 4 — Permissions and integration failure. Sanitize imported SVG, reject external scripts and oversized assets, and require user selection before reading local files. Keep document contents out of telemetry. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results.
5. Phase 5 — Portable handoff. Export editable JSON with assets and an SVG or PNG rendering. Reopen the editable export to retain layers, relationships and IDs; image exports alone are not backups. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README.
6. Phase 6 — Acceptance scenarios. Undo a crop and recover the original framing; exporting a selected pixel size produces that size while retaining a separate editable project. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder.

Acceptance
Undo a crop and recover the original framing; exporting a selected pixel size produces that size while retaining a separate editable project.
Use real source data or clearly labeled fixtures. Explain unsupported input and provider failures; do not fabricate analytics, delivery receipts, accuracy claims or security guarantees.

Optional agent guidance
Optional external skill: [vercel-composition-patterns](https://github.com/vercel-labs/agent-skills/blob/main/skills/composition-patterns/SKILL.md) — Design reusable React components with composition, context and explicit component variants. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Optional external skill: [web-design-guidelines](https://github.com/vercel-labs/agent-skills/blob/main/skills/web-design-guidelines/SKILL.md) — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Project rule — data model: source images, layers, adjustment parameters, masks, text blocks and export dimensions
Project rule — preserve this invariant: Original pixels stay immutable; adjustments are reversible and an AI transformation cannot silently replace the base layer.
Project rule — acceptance evidence: Undo a crop and recover the original framing; exporting a selected pixel size produces that size while retaining a separate editable project.

# AGENTS.md — Build guide for Fotor

## Project scope
Import a photo, crop and adjust exposure/color, add text and compose a simple graphic from reusable layouts. Keep optional background-removal processing separate and clearly identify where images are sent.

Catalogue verdict: kinda. The visible photo + graphic design loop is buildable, but a credible replacement needs more than the first screen. Fotor earns its keep through editor polish, assets, algorithms, so expect a weekend or multi-day build and a narrower personal scope.
Use the implementation prompt below to define the deliverable. Complete each phase's acceptance checks before extending the scope.

## Working agreement
- Inspect the repository and its existing instructions before choosing paths, dependencies or commands. Keep one coherent stack and explain changes to the proposed architecture.
- Plan a vertical slice that accepts a real input and produces the useful output described below. Persist only the state the prompt calls for; respect memory-only and upstream-managed workflows. Use fixtures only when they are clearly labelled.
- After scaffolding, document the actual install, development, check and build commands in README and keep them synchronized with the package or project manifest. Do not report commands as successful unless they ran.
- Work in small steps. At handoff, list implemented flows, checks actually performed, remaining blockers, and any credentials or provider setup the owner must supply.
- Do not publish, spend money, contact customers, delete source data or run irreversible migrations without the project owner's authorization.

## Prerequisites
- A supported Node release for development and a modern browser. Ship a static bundle that can work locally without an account.
- Implementation components: Vite, React and TypeScript with SVG for diagrams or a Canvas rendering adapter for raster assets. IndexedDB for projects and revisions; versioned JSON documents with stable object IDs.
- Scope boundary: cloud collaboration and mobile apps; high-fidelity color, format, and export handling

## Stack and architecture
- Vite, React and TypeScript with SVG for diagrams or a Canvas rendering adapter for raster assets.
- IndexedDB for projects and revisions; versioned JSON documents with stable object IDs.
- Domain model: source images, layers, adjustment parameters, masks, text blocks and export dimensions

## Security and data integrity
- Sanitize imported SVG, reject external scripts and oversized assets, and require user selection before reading local files. Keep document contents out of telemetry.
- Correctness boundary: Original pixels stay immutable; adjustments are reversible and an AI transformation cannot silently replace the base layer.
- Represent edits as reversible commands, debounce autosave, and persist a complete project snapshot before destructive structural changes.
- Export editable JSON with assets and an SVG or PNG rendering. Reopen the editable export to retain layers, relationships and IDs; image exports alone are not backups.

## Agent implementation rules
- Project rule — data model: source images, layers, adjustment parameters, masks, text blocks and export dimensions
- Project rule — preserve this invariant: Original pixels stay immutable; adjustments are reversible and an AI transformation cannot silently replace the base layer.
- Project rule — acceptance evidence: Undo a crop and recover the original framing; exporting a selected pixel size produces that size while retaining a separate editable project.

## Optional agent skills and references
- Optional external skill: [vercel-composition-patterns](https://github.com/vercel-labs/agent-skills/blob/main/skills/composition-patterns/SKILL.md) — Design reusable React components with composition, context and explicit component variants. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
- Optional external skill: [web-design-guidelines](https://github.com/vercel-labs/agent-skills/blob/main/skills/web-design-guidelines/SKILL.md) — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.

Read the linked SKILL.md and its dependencies before adding a skill. Select only the skills matching this project's runtime and task; their documentation does not supply API access, credentials or approval to perform external actions. Pin the reviewed revision where the tool supports it. Follow the chosen agent's documented project-level installation mechanism.

## Distribution ideas
These are optional planning notes. Obtain the owner's approval before publishing or contacting anyone.
- Demonstrate the actual Fotor-inspired workflow with owned or clearly labeled sample data: Import a photo, crop and adjust exposure/color, add text and compose a simple graphic from reusable layouts. Keep optional background-removal processing separate and clearly identify where images are sent.
- Publish a reproducible walkthrough with this observable result: Undo a crop and recover the original framing; exporting a selected pixel size produces that size while retaining a separate editable project.
- Explain who can operate this scoped tool, its setup and ongoing costs, and these remaining product gaps: cloud collaboration and mobile apps; high-fidelity color, format, and export handling Avoid guaranteed savings, performance scores or implied endorsement.

## Engineering roadmap
1. Phase 1 — Scope and fixtures. Implement this bounded workflow: Import a photo, crop and adjust exposure/color, add text and compose a simple graphic from reusable layouts. Keep optional background-removal processing separate and clearly identify where images are sent. Record prerequisites, select representative user-owned fixtures and document the unsupported features: cloud collaboration and mobile apps; high-fidelity color, format, and export handling
2. Phase 2 — Durable model. Model source images, layers, adjustment parameters, masks, text blocks and export dimensions Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: Original pixels stay immutable; adjustments are reversible and an AI transformation cannot silently replace the base layer.
3. Phase 3 — Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Represent edits as reversible commands, debounce autosave, and persist a complete project snapshot before destructive structural changes.
4. Phase 4 — Permissions and integration failure. Sanitize imported SVG, reject external scripts and oversized assets, and require user selection before reading local files. Keep document contents out of telemetry. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results.
5. Phase 5 — Portable handoff. Export editable JSON with assets and an SVG or PNG rendering. Reopen the editable export to retain layers, relationships and IDs; image exports alone are not backups. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README.
6. Phase 6 — Acceptance scenarios. Undo a crop and recover the original framing; exporting a selected pixel size produces that size while retaining a separate editable project. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder.

## Paid-product capabilities outside this build
- cloud collaboration and mobile apps
- high-fidelity color, format, and export handling
- pixel-perfect professional tooling
- large template and asset libraries
- color-management edge cases

## Implementation prompt
WORKING SLICE
Import a photo, crop and adjust exposure/color, add text and compose a simple graphic from reusable layouts. Keep optional background-removal processing separate and clearly identify where images are sent.

Build this scoped Fotor-inspired workflow with a documented data model and visible failure states.

Architecture
- Vite, React and TypeScript with SVG for diagrams or a Canvas rendering adapter for raster assets.
- IndexedDB for projects and revisions; versioned JSON documents with stable object IDs.

Prerequisites and limits
A supported Node release for development and a modern browser. Ship a static bundle that can work locally without an account.
Outside this release: cloud collaboration and mobile apps; high-fidelity color, format, and export handling

Data model and correctness
source images, layers, adjustment parameters, masks, text blocks and export dimensions
Invariant: Original pixels stay immutable; adjustments are reversible and an AI transformation cannot silently replace the base layer.
Represent edits as reversible commands, debounce autosave, and persist a complete project snapshot before destructive structural changes.

Security and privacy
Sanitize imported SVG, reject external scripts and oversized assets, and require user selection before reading local files. Keep document contents out of telemetry.

Recovery and export
Export editable JSON with assets and an SVG or PNG rendering. Reopen the editable export to retain layers, relationships and IDs; image exports alone are not backups.

Implementation order
1. Phase 1 — Scope and fixtures. Implement this bounded workflow: Import a photo, crop and adjust exposure/color, add text and compose a simple graphic from reusable layouts. Keep optional background-removal processing separate and clearly identify where images are sent. Record prerequisites, select representative user-owned fixtures and document the unsupported features: cloud collaboration and mobile apps; high-fidelity color, format, and export handling
2. Phase 2 — Durable model. Model source images, layers, adjustment parameters, masks, text blocks and export dimensions Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: Original pixels stay immutable; adjustments are reversible and an AI transformation cannot silently replace the base layer.
3. Phase 3 — Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Represent edits as reversible commands, debounce autosave, and persist a complete project snapshot before destructive structural changes.
4. Phase 4 — Permissions and integration failure. Sanitize imported SVG, reject external scripts and oversized assets, and require user selection before reading local files. Keep document contents out of telemetry. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results.
5. Phase 5 — Portable handoff. Export editable JSON with assets and an SVG or PNG rendering. Reopen the editable export to retain layers, relationships and IDs; image exports alone are not backups. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README.
6. Phase 6 — Acceptance scenarios. Undo a crop and recover the original framing; exporting a selected pixel size produces that size while retaining a separate editable project. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder.

Acceptance
Undo a crop and recover the original framing; exporting a selected pixel size produces that size while retaining a separate editable project.
Use real source data or clearly labeled fixtures. Explain unsupported input and provider failures; do not fabricate analytics, delivery receipts, accuracy claims or security guarantees.

Optional agent guidance
Optional external skill: [vercel-composition-patterns](https://github.com/vercel-labs/agent-skills/blob/main/skills/composition-patterns/SKILL.md) — Design reusable React components with composition, context and explicit component variants. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Optional external skill: [web-design-guidelines](https://github.com/vercel-labs/agent-skills/blob/main/skills/web-design-guidelines/SKILL.md) — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Project rule — data model: source images, layers, adjustment parameters, masks, text blocks and export dimensions
Project rule — preserve this invariant: Original pixels stay immutable; adjustments are reversible and an AI transformation cannot silently replace the base layer.
Project rule — acceptance evidence: Undo a crop and recover the original framing; exporting a selected pixel size produces that size while retaining a separate editable project.

## Completion evidence
Demonstrate the prompt's acceptance scenarios against the scoped workflow. Include setup from a clean checkout and failure recovery. Check persistence across restart and export/restore only for the state the prompt says to store; for memory-only tools, confirm that temporary content is discarded as specified. Record actual results and remaining limitations. A detailed plan alone does not establish a working replacement.