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Content Studio · Deep Research

A research desk
that never sleeps.

Hand Helix a topic. A supervisor agent breaks it into sub-topics, dispatches a team of researchers in parallel, and synthesizes a cited report — with a confidence score and its work streamed live.

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research.completedConfidence: High
“Impact of generative AI on software development productivity”
5 sub-researchers · 38 sources analyzed
AI coding toolsDeveloper throughputCode quality & tech debtEnterprise adoption
How it works

Decompose, dispatch, synthesize.

A supervisor agent coordinates a team of sub-researchers working in parallel — and streams its thinking the whole way, so it’s never a black box.
  1. 01DecomposeThe supervisor agent breaks your topic into the sub-topics worth investigating.
  2. 02DispatchA sub-researcher launches per sub-topic, searching and reading the web in parallel.
  3. 03ExtractEach agent crawls sources, pulls the relevant content, and writes a cited sub-report.
  4. 04SynthesizeThe supervisor combines the sub-reports into one report with sources and a confidence score.
What you get

A cited report, not a guess.

Every report comes back with its sources, the sub-topics it covered, and an honest confidence level — and you watch it happen in real time.
A cited Markdown report

A comprehensive write-up with inline sources, sub-reports, and the list of topics investigated — ready to read or pipe onward.

A confidence score

High, medium, or low — reflecting the breadth and quality of sources, so you know what to trust and what needs a human.

Live progress, streamed

Watch sub-topics start, sources arrive, and the supervisor reason in real time over SSE — not a spinner for five minutes.

In the pipeline

Research that becomes the work.

A report is a starting point, not the end. Deep Research hands off to the rest of the stack so the findings turn into something you ship.
To →
Writer
Research becomes the draft

Pass the report into Writer as research context — informed, accurate drafts built on cited primary sources in one pipeline.

Explore Writer →
To →
Fact Checking
Verify what it cites

Run the report’s claims through Fact Checking to confirm the sources hold up before any of it reaches an audience.

Explore Fact Checking →
The payload

Create, stream, retrieve.

Submit a topic, connect to the live stream to watch it unfold, and retrieve the cited report when it completes.
curl -X POST https://api.feeds.onhelix.ai/research/tasks \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "input": "Impact of generative AI on software development productivity",
    "detail": "basic"
  }'
Where it ships

Submit it, watch it, collect it.

Kick off a task, stream the progress into your own UI, and pull the finished report.
POST/research/tasks
Submit a topic and detail level to start a research task.
STREAM/research/tasks/{id}/stream
Watch topics, sources, and supervisor thinking live over SSE.
GET/research/tasks/{id}
Retrieve the cited report, sources, and confidence when complete.
STUDIOPublisher Studio
Submit topics, watch progress live, and read finished reports in the dashboard — no code.
In the field

Built for the people who need the background, fast.

One agent team, every workflow that starts with “what do we actually know?”
For newsrooms
Brief the story before you write it

Run a topic at the top of the day and start writing from a cited, confidence-scored briefing instead of a blank page and twelve open tabs.

For analysts
Survey the landscape in minutes

Market scans, competitive landscapes, and literature reviews researched in parallel and returned with the sources attached.

For content teams
Feed the writer real sources

Pipe the report straight into Writer so every long-form piece is built on primary research, not a model’s memory.

Start from a briefing,
not a blank page.

Get in touch

Forty-five minutes with a Helix engineer and an editor who has shipped what you are trying to ship. No sales calls.

Book a briefing →Read the docs