Archer Scaling.ai
For Lisa Spicer · SPEC PR
A coverage agent you can actually run.
On our call you described the coverage research that eats about ten hours a week — filtering below the outlet, by writer and by topic. Rather than tell you it works, here it is. Try it.
Ahead of our audit on July 31.
Your About page says the work is never replaced by a bot — agreed. This clears the manual scanning so your team spends its hours on the story. It ends at a report a person reviews, never an auto-send.
Demo A · try it yourself
Targeted Coverage-Research Agent
RUN IT BELOW · REAL COVERAGE, PRE-FETCHED
"Our tools only filter by media outlet. I want coverage on a specific target — Yamaha motorcycles, off-road — from our curated source list, filtered by the writer and the topic within the coverage. It's about ten hours a week."
— you, on our call
This is the part your current tool can't do: precision below the outlet. Pick your sources, type what you're chasing, optionally narrow to a writer, and run it.
Your source list
What stays yours: the story and the client judgment. The agent reads and assembles; you decide what the coverage means.
"Your tool gives you 'everything from Cycle News.' This gives you 'every motorcycle story by these writers across your list, summarized.'"
Demo B · the bigger picture
Knowledge & Grant-Matching Agent
CONCEPT · RUNS ON PUBLIC OAI DATA
"We have ten-plus years of agency knowledge I want queryable by an agent — for our team and for dealers and grant recipients. What grant-funded projects are in their area? Help find the right dealer to support a recipient."
— you, on our call
A retrieval agent over your knowledge plus the grant data, with a "near me" match for the dealer ↔ recipient support loop you described. A few things it answers:
- "What OAI grant-funded projects are near this area?"
- "A recipient in Colorado needs support — which Yamaha dealers are nearby and a fit?"
- "Summarize everything we've done for Cardo, with sources."
What stays yours: anything a client sees. Grounded, cited answers only — it never invents a grant or a dealer, and outward answers end at a human-reviewed draft.
How real is it: for the 31st this runs on public Yamaha OAI grant data and your public content — real and grounded. The build points it at your ten years of internal knowledge, which is where the real leverage is. (I'll bring this one to run live on the call.)
A few things to bring, so the 31st is yours, not generic
If you can round these up before we talk, the demos run on your world instead of a stand-in:
- The media tool you're on now, and the one thing it can't do that you wish it could.
- Your curated source list — even a rough version. (Paste it into the box above to see it filter your own outlets.)
- Where the ten years of knowledge actually lives (Drive, Notion, email, a shared drive of decks).
- For the grant agent: who the outside users would be — Yamaha dealers, OAI recipients, or both.
- Anything in that knowledge that's client-confidential, so it's walled off from the start.