How to Track Your AI Tools and Prompts in Notion

If you’re paying for ChatGPT, Claude, Jasper, Midjourney, or half a dozen other AI subscriptions, you probably can’t remember which one you used for that brilliant prompt three weeks ago. You’re not alone—most small businesses and freelancers juggle multiple AI tools without a clear system to track what’s working, what’s costing too much, or where that one prompt disappeared to.

Notion gives you a single place to log every AI tool you test, store your best prompts, and measure whether those subscriptions actually save you time or money. Here’s how to build a tracker that works.

Why You Need to Track AI Tools and Prompts

AI tools pile up fast. You sign up for a free trial, forget about it, or keep paying for two tools that do the same thing. Without tracking, you waste money on overlapping subscriptions and lose time recreating prompts you’ve already written.

A Notion tracker solves three problems: it shows you which AI tools deliver ROI, saves your best prompts so you don’t start from scratch every time, and gives your team a shared library instead of everyone building their own. You’ll make faster decisions about which tools to keep and which workflows to scale.

If you use AI tools as a freelancer or run a small team, this system keeps you organised without adding extra tools to your stack.

What to Track in Your Notion AI Hub

Before you build databases, decide what information actually helps you make decisions. Too many fields create friction; too few leave you guessing.

Track these elements for each AI tool: the tool name, monthly or annual cost, category (writing, design, coding, research), date you started using it, and a quick note on what it’s for. Add a status field (active, trial, cancelled) so you can filter your current spend at a glance.

For prompts, log the prompt text itself, which AI tool it works with (ChatGPT, Claude, etc.), the use case or task, tags for easy searching, and the date you created it. Optional: add a rating or “favourite” checkbox for your top performers.

If you’re serious about ROI, add a usage log: date, task description, time saved, and outcome. This ties prompts and tools back to real results, which helps you track AI subscription ROI over time.

Step 1: Create a Database for AI Tools

Open Notion and create a new page in your workspace. Give it a clear name like “AI Command Center” or “AI Tools & Prompts.”

Add a database by typing /database and choosing “Table – Inline.” Name the database “AI Tools.”

Add these properties to your AI Tools database:

• Tool Name (Title): The name of the AI service.
• Cost (Number): Monthly subscription price in euros or dollars.
• Billing Cycle (Select): Monthly, Annual, Free, or Pay-per-use.
• Category (Select): Writing, Design, Code, Research, Video, Audio, etc.
• Status (Select): Active, Trial, Cancelled, Considering.
• Start Date (Date): When you began using or testing it.
• Notes (Text): What you use it for, pros, cons, or performance observations.
• URL (URL): Link to the tool’s website or your account dashboard.

Populate the database with every AI tool you currently pay for or have tested in the past six months. Include free tools if you use them regularly—they still consume time and attention.

Step 2: Build a Prompt Library Database

Create a second database on the same page by typing /database again and choosing “Table – Inline.” Name it “Prompt Library.”

Add these properties:

• Prompt Title (Title): A short, descriptive name (e.g., “Blog Intro Hook,” “LinkedIn Post from Article”).
• Prompt Text (Text): The full prompt, including placeholders like [TOPIC] or [COMPANY NAME].
• AI Tool (Relation): Link this database to your AI Tools database so you can tag which tool the prompt works with.
• Use Case (Select): Email, Social Media, Content Writing, Customer Support, Research, Code, Design Brief, etc.
• Tags (Multi-select): Keywords like “marketing,” “technical,” “quick,” “long-form.”
• Created Date (Created time): Auto-fills when you add a new prompt.
• Favourite (Checkbox): Mark your most effective prompts.
• Output Example (Text, optional): Paste a sample result so you remember what this prompt delivers.

Start by adding 5–10 prompts you already use. Don’t aim for perfection—capture the prompts you reach for most often. You can refine and expand over time.

If you’re new to writing effective prompts, check out this guide on how to write better prompts for AI tools in business to improve your results.

Step 3: Link Your Databases with Relations

Click the “AI Tool” property in your Prompt Library and choose “Relation” if you haven’t already. Select your “AI Tools” database as the target.

Now you can tag each prompt with one or more AI tools it works with. For example, a content summary prompt might work in both ChatGPT and Claude, so you can link it to both.

In your AI Tools database, add a Rollup property called “Prompt Count.” Set it to roll up the relation from Prompt Library and count “All.” This shows how many prompts you have for each tool—a quick way to see where you’re building the most workflows.

Linking databases makes your tracker more powerful. When you open an AI tool entry, you see all related prompts. When you open a prompt, you see which tool it belongs to. No more guessing.

Step 4: Add a Usage or Experiment Log (Optional but Useful)

Create a third database called “AI Experiments” or “Usage Log.” This is where you document what you tried, what happened, and whether it was worth repeating.

Add these properties:

• Experiment Title (Title): Brief description of what you tested (e.g., “Automated weekly newsletter intro”).
• Date (Date): When you ran the experiment.
• AI Tool Used (Relation): Link to your AI Tools database.
• Prompt Used (Relation): Link to your Prompt Library.
• Task (Text): What you were trying to accomplish.
• Time Saved (Number): Estimated minutes or hours saved compared to manual work.
• Outcome (Select): Success, Partial Success, Failed, Needs Tweaking.
• Notes (Text): What worked, what didn’t, and what you’d change next time.

Log an entry every time you test a new prompt or workflow. This habit turns guesswork into data. After a month, you’ll see patterns: which tools solve real problems, which prompts consistently save time, and which experiments flopped.

This log is especially valuable if you’re tracking ROI across multiple tools or justifying AI spending to a manager or client.

Step 5: Organise with Views and Filters

Use Notion’s database views to slice your data without duplicating work. In your AI Tools database, create a view filtered by “Status = Active” to see only current subscriptions. Create another view grouped by “Category” to compare spending across writing tools, design tools, and so on.

In your Prompt Library, create views by use case (e.g., “Marketing Prompts,” “Code Prompts”). Add a “Favourites” view filtered by the checkbox you created earlier—this becomes your go-to list when you need a proven prompt fast.

Sort your Usage Log by “Time Saved” in descending order to spotlight your highest-value workflows. Filter by “Outcome = Success” to see what’s working and repeat those experiments.

Views keep your tracker flexible. You don’t need separate pages for every category; just filter the same database multiple ways.

Step 6: Set Up a Monthly Review Routine

Schedule 15 minutes at the end of each month to review your AI tracker. Open your AI Tools database and check the “Status” column—are you still using everything marked “Active”? If a tool has zero experiments or prompts linked to it, consider cancelling.

Look at your Usage Log and calculate total time saved. If you’re spending €50/month on a tool but only saving two hours, is that worth it for your business? Compare that to tools where you’re logging multiple successful experiments.

Update your Prompt Library by archiving prompts that no longer work (AI models change, and old prompts can break) and adding new ones you’ve tested. Mark new favourites based on the past month’s results.

This monthly habit prevents subscription creep and ensures your tracker stays useful instead of becoming another abandoned workspace.

How to Adapt This System for Teams

If you’re tracking AI tools for a team, add a “Team Member” or “Owner” property (type: Person) to your Prompt Library and Usage Log. This shows who created each prompt and who ran each experiment, so you can credit good work and avoid duplicating effort.

Create a shared “Approved Prompts” view in your Prompt Library, filtered by a checkbox you add called “Team Approved.” This separates personal experiments from prompts everyone should use.

Use a kanban view in your AI Tools database (grouped by “Status”) to visualise which tools are in trial, active, or under review. Teams can move cards as they test and decide together. If you need more structure, see how to build a Kanban board in Notion.

For larger teams running sprints or managing backlogs, you can integrate this tracker into a Scrum workflow in Notion or connect it to your project management templates.

Tools and Templates to Get Started Faster

If you want a ready-made system instead of building from scratch, the AI Project Command Center Notion template includes pre-built databases for AI tools, prompt libraries, and experiment logs. It also comes with 12 AI workflows and 20+ tested prompts you can use immediately. It works on Notion’s free plan and costs €27.

Otherwise, start with the two-database setup (AI Tools + Prompt Library) and expand as you learn what you need. Don’t over-engineer—track only what helps you decide which tools to keep and which prompts to reuse.

Common Mistakes to Avoid

Don’t create too many properties upfront. Extra fields feel helpful but slow you down. Start minimal and add fields only when you notice you’re asking the same question repeatedly.

Don’t wait for a “complete” prompt library. Add prompts as you use them. A library of five working prompts beats a perfectly categorised library of zero.

Don’t skip the monthly review. Without regular check-ins, your tracker becomes stale. Cancelled tools linger, dead prompts clutter your library, and you lose trust in the system.

Don’t track for tracking’s sake. If a field or database doesn’t change a decision—cancel a tool, reuse a prompt, run an experiment—delete it.

Next Steps: Turn Tracking into Action

Once your tracker is live, use it to guide real decisions. If a tool has no successful experiments after two months, cancel it. If a prompt saves you an hour every week, document the exact workflow and train your team on it.

Combine this tracker with broader AI workflows—like the ones in AI marketing for small business or AI tools for business—to build a repeatable system that scales as your needs grow.

For more advanced tracking, explore how to log and prioritise issues in Notion if you’re testing beta tools or connecting this system to your Notion templates hub for project management.

Tracking AI tools in Notion won’t make you more productive by itself. But it will show you where you’re wasting money, which prompts actually work, and what to focus on next—so you spend less time managing subscriptions and more time using AI to grow your business.

Frequently asked questions

Can I track AI tools in Notion's free plan?

Yes. All the databases and properties described in this guide work on Notion's free Personal plan. You only need a paid plan if you want advanced permissions for a larger team or need to connect external tools via API.

How do I decide which AI tools to cancel?

Review your usage log and check how many successful experiments or time-saved entries each tool has. If a tool has no activity in two months, hasn't saved measurable time, or overlaps with another tool you prefer, cancel it and reassess in your next review cycle.

Should I share my prompt library with my team?

Yes, if you work with others. Add a "Team Approved" checkbox or status field to mark prompts that are tested and ready for everyone to use. Keep personal experiments in a separate view so the shared library stays focused and useful.

How often should I update my AI tools tracker?

Add new tools and prompts as you discover them—this takes seconds. Schedule a 15-minute review once a month to update costs, cancel unused subscriptions, archive outdated prompts, and check your usage log for patterns.

Can I track prompt performance across different AI models?

Yes. Use the relation property to link each prompt to multiple AI tools (ChatGPT, Claude, Gemini, etc.), and add notes or a separate "Performance" select field to record which model gave the best results for that prompt.

What's the fastest way to start tracking AI tools in Notion?

Create one database with three columns: Tool Name, Monthly Cost, and Status. Add every AI subscription you currently pay for. Then create a second database for prompts with Prompt Title, Prompt Text, and Use Case. Link the two databases with a relation property. You can expand from there as you use it.