AI for content research that shows its sources.
Research a piece before you write it, not after an editor asks where a claim came from. Sweep deduped, multi-source coverage to see what's already been said, pull the supporting data into a notebook, and draft with a citation on every line.
Frame the piece as a notebook[1]
Sweep the current coverage[2]
Pull the supporting data[3]
Keep the sourcing defensible[3]
What you can do
Four moves, one workspace.
The concrete work behind "ai for content research" — not a feature list.
- 01
Frame the piece as a notebook
Open a notebook per story or campaign; branch threads for angle, data and sourcing.
- 02
Sweep the current coverage
Deduped, multi-source news clusters show what's already been said, so the piece adds something instead of repeating the wire.
- 03
Pull the supporting data
Search across reports and articles you've gathered and let the workspace draft the synthesis with citations attached.
- 04
Keep the sourcing defensible
Every claim in the draft links back to where it came from, so fact-checking is a click, not a re-search.
What it reads against
Media work is only as good as its sources.
The reference collections this job draws on. Each is a page you can open and read before you trust a single answer.
The day's coverage read as it is published, with outlets running the same wire copy recognised as one story.
Releases matched on their industry identifier, so a remaster, a reissue and a same-titled remake stay separate things.
Threads read for their resolution — the accepted answer rather than the longest argument.
Open-access research read in full — with the datasets a finding rests on kept alongside the write-up.
Collections are libraries the workspaces read from, kept as what they are rather than flattened into one pile. See the full collection breakdown.
The stack under the work
The workspaces this job runs on.
Listed in the order the work moves through them, each carrying its live status.
Example workflows
What it looks like end to end.
Story pitch
Research a topic, sweep what's already been covered, and draft a pitch that names the angle nobody else has taken — with the supporting sources attached from the start.
Explainer piece
Pull the reporting and the underlying data into one notebook, draft the explainer with citations on every figure, and hand it to an editor who can verify each claim in one click.
Questions
Frequently asked.
- Can askFinz help research and fact-check a piece before it's written?
- Yes. Pull reporting, data and prior coverage into a research notebook; the workspace drafts a synthesis with a citation on each claim, so a fact-check is a click back to the source rather than a re-search.
- Does it track what's already been covered?
- Yes. Deduped, multi-source news clusters show what's already out there on a topic, so a new piece can add an angle instead of repeating the wire.
- Can I keep a standing research file for a beat?
- Yes. A notebook per beat or topic accumulates sourced detail over time, and live news keeps it current between full rewrites.
Different job? Browse every use case or start from your industry.
For content & editorial teams
Put it to work.
Request private access and we will walk through the workspaces this job runs on.
- workspaces in access
- 3 workspaces in access
- worked examples
- 2 worked examples
- reference collections
- 4 reference collections
Browse the rest of the catalog at /apps.
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