# Cursor vs FieldDay · Real-World AI

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. FieldDay · Real-World AI records 0 monthly visits with — growth and Freemium pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [FieldDay · Real-World AI](https://openaitools.app/tool/fieldday) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://apps.apple.com/us/app/fieldday-real-world-ai/id6448133483 |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI App Builder, No-Code&Low-Code, AI Image Recognition, AI Models |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 23,297,751 | 0 |
| MoM Growth Rate | +8.4% | — |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 0 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 29 | 2 |
| Supported Platforms | Website | App |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## FieldDay · Real-World AI

FieldDay turns the iPhone into a self-contained applied-ML environment. Instead of sending photos to a cloud service or hiring a data scientist, you define categories for the objects, gestures, or scenes you want the camera to recognize, then record samples from different angles and lighting conditions. FieldDay trains a compact classifier on-device, lets you test it live in the camera view, and gives you a simple correction loop: every time the model misreads something, you mark the right answer and it learns from that example. The whole loop is designed to take minutes rather than weeks, and everything happens in a friendly, visual interface that requires no programming.

Once a model behaves the way you want, FieldDay offers two paths forward. You can keep it in the app and attach an action: connect HomeKit devices or scenes to specific categories so that simply pointing the camera at a room, lamp, fan, or outlet surfaces the right smart-home controls. Or you can export the model to platforms you already use, including Siri Shortcuts for image-based predictions, Snap Lens Studio, and Xcode for deeper integration into your own projects and workflows.

The app is aimed at a broad audience — hobbyists experimenting with computer vision, makers building camera-driven gadgets, teachers creating interactive lessons, and product teams prototyping retail or accessibility experiences. FieldDay was developed by New Material, Inc. (with ties to New Material Studio Ltd in the UK) and is published on the Apple App Store for iPhone running iOS 16 or later. It is a genuine first-party app, not an unofficial or third-party clone of a larger brand.

**Pricing & Plans:** Free to download and — per the latest App Store update — free to use: version 1.2.0 removed subscriptions and in-app purchases so all features are available at no cost. Earlier releases experimented with a FieldDay Pro subscription and paid training credits, so ignore old pricing references you may find online.

- **On-device model training:** Collect a custom image dataset with your iPhone camera and train a vision classifier right on the phone, with no cloud round-trip and no code.
- **Correction-based fine-tuning:** Every misclassification can be corrected in place, letting the model improve iteratively as you keep using it in the real world.
- **HomeKit actions:** Assign HomeKit lights, outlets, fans, or scenes to specific categories so that recognizing an object in the camera view instantly brings up the matching controls.
- **Model export:** Take your trained classifier beyond FieldDay and reuse it in Siri Shortcuts, Snap Lens Studio, Xcode, and other popular formats and tools.
- **Real-time camera testing:** Test predictions live through the camera while you are still training, so you can see exactly when a model is good enough to ship.

**Strengths:** Genuinely no-code: the entire pipeline from data collection to a working classifier happens in one visual iPhone app.; Fast iteration loop — collection, training, live testing, and correction are all in the same place, so experiments take minutes.; Useful escape hatches: HomeKit actions and export options (Shortcuts, Lens Studio, Xcode) keep models from being locked inside the app.; Now completely free after the 1.2.0 update removed subscriptions and in-app purchases.

**Limitations:** iPhone-only (iOS 16+) — there is no Android or web version.; Requires an Apple device for the smart-home and Shortcuts integrations to be useful at all.; Accuracy depends heavily on the quality and variety of the training data you collect yourself.

[Profile (Markdown)](https://openaitools.app/tool/fieldday.md)

## Frequently Asked Questions

### How do Cursor and FieldDay · Real-World AI compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while FieldDay · Real-World AI has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; FieldDay · Real-World AI has —.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. FieldDay · Real-World AI: Freemium. Free to download and — per the latest App Store update — free to use: version 1.2.0 removed subscriptions and in-app purchases so all features are available at no cost. Earlier releases experimented with a FieldDay Pro subscription and paid training credits, so ignore old pricing references you may find online.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [RunningHub](https://openaitools.app/tool/runninghub) | 3,105,554 | -28.5% | Freemium | Cloud ComfyUI platform to run workflows and build AI apps | [.md](https://openaitools.app/tool/runninghub.md) |
| 8 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 9 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 10 | [Ultralytics](https://openaitools.app/tool/ultralytics) | 793,423 | +8.7% | Freemium | Real-time vision AI models and a full platform to train, annotate, and deploy them | [.md](https://openaitools.app/tool/ultralytics.md) |

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Source: https://openaitools.app/compare/cursor-vs-fieldday

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