Every week, someone on your team spends hours gathering industry news, competitor updates, and market data into a report that half the team skims and the other half ignores. Let's fix both problems — the time waste AND the engagement.
The play: Set up an AI research agent that continuously monitors your industry and produces a weekly brief that's actually worth reading.
Step 1: Define what you actually need to know
Before you pick a tool, write down:
- What sources matter? (Industry blogs, competitor websites, social media, SEC filings, etc.)
- What questions does the report answer? ("What did our competitors launch this week?" "Any regulatory changes?" "What's trending in our space?")
- Who reads it and what do they do with it?
Be specific. "Stay on top of the industry" is not a brief. "Track product launches from these 10 competitors and summarize pricing changes" is.
Step 2: Pick your research agent
Check the "Research anything, fast" category on Findn. You want an agent that can:
- Monitor specific websites and sources on a schedule
- Synthesize information (not just list links)
- Cite its sources (this is non-negotiable)
- Output in a format your team will actually read
For most teams, a general-purpose AI research agent works better than building a custom pipeline. You can always graduate to something more sophisticated later.
Step 3: Set up monitoring and scheduling
Configure the agent to:
- Monitor your defined sources daily
- Flag anything that matches your criteria
- Compile a weekly summary every Thursday evening (so it's in inboxes Friday morning)
Pro tip: Start with fewer sources and add more over time. Ten well-monitored sources beat fifty that produce noise.
Step 4: Make it readable
The secret to a report people actually read: format matters more than content.
Structure your output as:
- TL;DR (3 bullet points, max)
- What happened this week (organized by theme, not by source)
- What it means for us (the "so what?" section)
- Deep dives (optional, linked for people who want more)
Train the agent to write in your team's language, not generic business-speak. If your team says "that's spicy" instead of "that's noteworthy," the report should too.
What you'll save:
- 3-5 hours per week of manual research compilation
- The report will actually be more comprehensive (agents don't get bored or forget to check a source)
- Your team gets it on time, every time (no more "sorry, report's late this week")
The honest caveat: AI research agents occasionally hallucinate facts or misattribute sources. Always have a human do a quick sanity check before distributing. A 5-minute review beats a 5-hour compilation.