This app helps you assess whether automating a recurring task is beneficial based on multiple factors. It provides a holistic view by considering not just time savings but also the inconvenience, error potential, opportunity cost, and maintainability of manual tasks.
- Time Impact: Calculates how much time you spend on the task over 5 years.
- Inconvenience Factor: Evaluates how disruptive the task is to your workflow.
- Opportunity Cost: Measures the potential value of time spent elsewhere.
- Error Potential: Assesses the likelihood of making mistakes.
- Maintainability: Considers how difficult it would be to maintain the automated solution.
- Automation ROI: Provides a clear recommendation based on the return on investment for automating the task.
This app was developed using @vercel’s v0.dev AI assistant to write the code. However, instead of hosting it directly with Vercel, I ported the app over to OpenNext and deployed it to Cloudflare Workers using the Cloudflare adapter and Wrangler CLI for deployment.
v0.dev -> OpenNext -> Cloudflare Workers
This approach avoids vendor lock-in while maintaining flexibility and ease of use.
Start by installing the necessary dependencies for Open-Next and Cloudflare integration:
npm install --save-dev @opennextjs/cloudflare
npm install -D wrangler@latest
npm create cloudflare@latest -- task-optimizer-next-cf --framework=next --experimental
Once the project is scaffolded:
cd task-optimizer-next-cf
The UI components in the app are built using shadcn-ui
, which is what v0.dev uses when creating UIs. Install an older version of shadcn-ui
to avoid bugs:
npx shadcn-ui@0.8.0 init
npx shadcn-ui@0.8.0 add button card input label select slider
Install the additional libraries used in the app, such as framer-motion
, recharts
, and lucide-react
:
npm install framer-motion recharts lucide-react
Since OpenNext Cloudflare doesn’t scaffold the necessary code folders, you need to manually create them and copy the code from v0.dev:
mkdir components
nano components/AdvancedTaskOptimizer.tsx # Copy the component code here
mkdir app
nano app/page.tsx # Copy the v0.dev code for page.tsx
nano app/layout.tsx
nano app/globals.css
Start the development server to ensure everything works:
npm run dev
Note: You may need to install pnpm
globally for the Cloudflare adapter to work:
npm install -g pnpm
You can preview the app locally using the Cloudflare Workers CLI:
npm run preview
Once you're satisfied with the preview, deploy the app to Cloudflare:
npm run deploy
The app calculates a "total impact" score to quantify the benefits of automation using the following formula:
Total Impact = Time Impact (5 years) + Inconvenience Impact + Opportunity Cost Impact + Error Potential Impact + Maintainability Impact
- Time Impact: Time spent on the task over 5 years.
- Inconvenience Impact: How disruptive the task is (based on your rating).
- Opportunity Cost Impact: Time you could spend on other activities.
- Error Potential Impact: Likelihood of errors.
- Maintainability Impact: Difficulty of maintaining the automated solution.
Factor | Weight | Formula |
---|---|---|
Inconvenience | 0.2 | Inconvenience Factor * 0.2 * Time Impact (5 years) |
Opportunity Cost | 0.2 | Opportunity Cost * 0.2 * Time Impact (5 years) |
Error Potential | 0.1 | Error Potential * 0.1 * Time Impact (5 years) |
Maintainability | 0.1 | (10 - Maintainability) * 0.1 * Time Impact (5 years) |
Automation ROI = Total Impact / (Time to Automate in Hours * 60)
The app uses this ROI to recommend whether automation is Strongly Recommended, Recommended, or Not Recommended.
Let’s say you spend 10 minutes on a task daily, it’s very inconvenient (Inconvenience Factor = 7), and you estimate 30 hours to automate the task. The app will calculate:
-
Time Impact (5 years):
10 minutes * 365 days * 5 years = 18,250 minutes
-
Inconvenience Impact:
7 * 0.2 * 18,250 = 25,550 minutes
-
Opportunity Cost Impact:
...
The app then sums up the impacts to compute Total Impact and provides an automation recommendation based on the Automation ROI.
- Save Results: You can save your most recent calculations to your browser’s local storage.
- Automatic Load: When you revisit the app, your last saved results are automatically loaded.
- No History: Only the most recent result is saved.