---
title: "Newsletter research with Comet"
canonical: "https://agenticfeats.com/c/newsletter-research-with-comet-perplexity-comet/"
agents: ["Perplexity Comet"]
evidence_grade: "B"
outcome: "partial"
job_type: "Marketing and Content"
industry: "Newsletters"
roles: ["Marketing"]
source_url: "https://cashandcache.substack.com/p/i-used-perplexity-comet-as-my-newsletter"
source_date: "2025-10-28"
published: "2026-10-13"
updated: "2026-10-13"
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# Newsletter research with Comet

Perplexity Comet loaded NotebookLM with Reddit sources and analyzed Substack note performance for a newsletter author over a week of testing.

Result: Comet added Reddit threads plus 10 Discover sources to NotebookLM in about 15 minutes unattended, then extracted 67 notes for analysis in 25 minutes.

## How it was set up

Perplexity Comet browser agent working across tabs with NotebookLM's Add Source and Discover features and the Substack Activity page, driven by copy-paste prompts.

## Worth knowing

Comet kept stopping after 15-20 notes and needed repeated prompting; the note extraction ended up slower than doing it manually.

## Prompt

```text
Research task: add [NUMBER]+ [SOURCE TYPE] about [TOPIC] to NotebookLM. Use Add Source to input URLs, then use Discover to find related sources on [TOPIC] and add them all. Goal: a notebook covering [WHAT YOU WANT TO ANALYZE].
```

## Evidence note

Author's first-person write-up with screenshots; no repo or shared output.

## Sources

- Original: https://cashandcache.substack.com/p/i-used-perplexity-comet-as-my-newsletter

## The receipt

- Agent: Perplexity Comet
- Evidence: Numbers (grade B, a specific number stated)
- Outcome: Partial
- Job type: Marketing and Content
- Industry: Newsletters
- Roles: Marketing
- Source: Blog
- Published: 2025-10-28
- Added: 2026-10-13