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PromptLoop

Getting Started

Getting StartedNew

Platform

Tasks

Datasets

Capabilities

Web Browsing

Scraping Lists

Dynamic Data Extraction

Signals

Accuracy & Confidence

Research Pages

Integrations

Integrations

Industry Guides

Sales Plays

GTM and Sales

Capturing Efficiency

Private Equity

E-commerce

Help & More

Help & More

Contact

Spreadsheet Apps

Account Limits and Credits

On this page

  • Datasets – Running AI Tas...
  • Getting Started (2‑minute...
  • Working with Files & Vers...
  • Uploading a Spreadsheet
  • Launching an AI Task
  • Reviewing Results
  • Dataset Tools
  • Generating a Dataset (Aut...
  • Generation Modes
  • How to Generate
  • New Column Gen (Excel‑sty...
  • Best Practices & Limits
  • FAQ

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Datasets – Running AI Tasks on Files

Datasets are the workspace where PromptLoop stores every spreadsheet you upload and every version created after an AI task or generation run. Upload a CSV or Excel file, pick the columns you want the model to use, and run tasks on hundreds—or thousands—of rows in one go.

PromptLoop handles all the heavy lifting: queuing, parallel execution, and versioning. You just download the enriched file when it’s done.

Helpful links  

  • Datasets Page  
  • Generate a Dataset  
  • Create a Task

Getting Started (2‑minute video)#

Watch the video

Working with Files & Versions#

Uploading a Spreadsheet#

  1. Go to Datasets → Upload File.
  2. Drag‑and‑drop a .csv or .xlsx file.
  3. PromptLoop auto‑detects columns. Tick the one(s) you plan to use as task inputs (often a single column such as website or search_term).
  4. Click Save Dataset.
Upload & preview dataset

Tip: You can upload a file just to explore and filter it first—there’s no need to run a task immediately.

Launching an AI Task#

  1. On the dataset row click Launch Job.
  2. Choose an existing task or click Create New Task if you haven’t built one yet (the editor opens in a new tab).
  3. Map the dataset column(s) to the task input(s).
  4. Hit Run. Jobs queue instantly; even large files (20 k–50 k rows) usually finish within 90 minutes.
Need more capacity?

For files larger than your current limit, reach out to the team — we can bump quotas for enterprise workloads. Book a Session

Reviewing Results#

When the job completes PromptLoop writes a new version of the dataset.

  • Use the in‑app filters and search bar to spot errors or blanks quickly.
  • Download a fresh CSV/XLSX or chain another task right away.

Results stay in your account indefinitely unless you delete the dataset.


Dataset Tools#

Generating a Dataset (Autoloop)#

Dataset Generation lets you build a prospect list from scratch using PromptLoop’s crawlers—no upload required.

Generate dataset options
Access

Available on Enterprise plans. Generation itself is free; you only pay for enrichment tasks you run afterwards.

Generation Modes#

ModeWhat You ProvideWhat You Get
Geographic CrawlRegion(s) + one keywordDeduped list of local businesses with addresses & websites
Global CrawlBusiness filters (e.g., B2B, Healthcare, HQ = US)Thousands of worldwide companies that match

How to Generate#

  1. Open Datasets and click Generate Dataset.
  2. Pick Geographic or Global.
  3. Fill in the form → Generate.
  4. A placeholder row appears while the crawler works (usually a few minutes). The row flips to Completed when done.
  5. Treat the new dataset like any other—run enrichment tasks or download it.
Keyword tips

Run one keyword per crawl (e.g., “hotels”). If you need multiple verticals, run separate generations. Start with a small geography to validate results.

New Column Gen (Excel‑style quick transforms)#

Use New Column Gen to reformat or combine existing columns without leaving PromptLoop.

New column button
No Credits Needed

Free on Team & Enterprise plans. Perfect for light cleanup—e.g., shorten descriptions or extract domains.

  1. Click New Column on any dataset.
  2. Select the columns to feed into the prompt.
  3. Describe what you want (“Return the domain part after https://”).
  4. Preview on random rows until output looks right.
  5. Click Generate → PromptLoop adds a new version with the extra column.
    Speed guide: ~10 minutes per 20 k rows.
Preview new column generator

Best Practices & Limits#

  • Column hygiene: keep input columns clean (one URL per cell, no trailing text).
  • Batch size: for >50 k rows split into chunks; run two jobs back‑to‑back to avoid browser timeouts.
  • Version control: rename important versions and save a filter or view that you need for a new task.
Hard limits (default)
  • Upload size: 100 MB per file
  • Rows per job: 50 k
    Need more? Ping us → Book a Session

FAQ#

Can I delete intermediate versions?
Yes. Click the kebab (⋮) on the version row → Delete.

How do I rerun a task only on blank rows?
Filter the dataset where the target column is empty, export those rows as a new file, re‑upload, and run the task.

What file types can I upload?
.csv, .xls, .xlsx. TSV works if you rename to .csv first.


Next step: Automate everything

Once you have a clean dataset, set up a Chain to link multiple tasks and build an end‑to‑end research workflow—no manual uploads required.