Using PromptLoop Tasks

PromptLoop Tasks are no‑code AI agents. Give them a list of websites or search terms and they return clean, structured data—at any scale.

1. Why Tasks?#

• Automate research that normally takes hours per prospect or company.
• Scale instantly from a single test row to thousands of data points.
• Keep results consistent with strict formats, confidence scores, and guardrails.

Helpful Links

• Create a task
• Template Library
• Your Tasks

2. Task Basics#

Inputs vs. Outputs#

A single input row → one (or many) output columns. When using List format the task can add extra rows—one per list item.

Task Types#

Crawl Depth#

Choose in the Browsing Type dropdown when creating/editing a Website task.

3. Quick‑Start (Most Users)#

Step 1 – Create a Task#

Option A – AI‑Generated Task (fastest)#

1. Go to Tasks → New Task.
2. Describe what you need and the desired columns.
3. Review the auto‑generated columns, tweak if required, and Save.

PromptLoop uses your prompt to pre‑fill each column’s search query and format, saving tons of setup time.

Option B – Copy a Template#

Browse the template library and clone a task that’s close to your goal (e.g., Find Information from a Website, Extract List from Website).

Step 2 – Test & Iterate#

1. Open the task and paste one sample input.
2. Click Run Test.
3. Review what information was found and hover over the info icon to see reasoning.
4. Tweak queries or formats, then retest.

Step 3 – Run on a Dataset#

1. Upload or select a dataset with your inputs.
2. Click Launch Job and pick your task.
3. PromptLoop adds new columns or rows with the outputs.

Explore, filter, and export results from the Datasets tab.

4. Editing a Task#

Toggle Edit ↔ Test at the top of the task page.

Search Items (Output Columns)#

Answer & Category Formats#

Categories ensure uniform outputs. Define the allowed options; anything else returns

Lists extract repeatable items (people, products, etc.) from a single site page.

Lists Recap#

• Adds extra rows—one per item.
• Each list column you define becomes a standard output column.

5. Advanced Topics#

Chained Tasks#

Run multiple tasks back‑to‑back in one workflow (e.g., crawl website → enrich via LinkedIn). Build a chain under Chains in the sidebar.

Immutable: once saved, a chain cannot be edited. Duplicate to make changes.

Building a Chain (step-by-step)#

1. Open Chains in the sidebar and click New Chain.
2. Add Inputs – choose the dataset column that kicks off the workflow (e.g.,
   website_url
   ).
3. Add Step → Select Task – pick your first task (e.g., “Company Details”).
4. Map Outputs to Next Step – click the ➔ icon next to an output and choose which task input it feeds.
5. Add Additional Steps as needed (max 5).
6. Save Chain – give it a name and description. ⚠️ Chains are immutable; duplicate to edit later.
7. Run on Dataset – launch just like any other task; results from every step are appended to the dataset.

Best Practices#

• Start with Smart Crawl, switch to Deep only if data is missing.
• Keep queries generic (not company‑specific).
• Use Categories for anything you’ll filter or group on later.

6. Troubleshooting & FAQs#

• Why is my task returning blanks? Test the URL in a single‑page crawl to debug.
• How many rows can a task handle? Tens of thousands; performance scales automatically.
• Can I change the input column later? No; create a new task to switch input type.

Next Steps#

• Datasets – upload data, launch jobs, and analyze outputs.
• Accuracy & Confidence – interpret scores and improve tasks.
• Signals – automate change monitoring over time.