Continuous intelligence, not one-time research

Define a research topic in natural language. Configured feeds collect relevant material, and summarization agents produce sourced outputs on a schedule and compare them with prior runs.

Solution

Scheduled research workflows

  • Configured feeds collect relevant material from selected sources.
  • Summarization agents produce cited briefs on a schedule.
  • Rolling comparisons show what changed since the last run.

What continuous research and summarization looks like

Manual research is expensive and goes stale. Automated pipelines and agents turn it into a continuous operation that produces structured, cited outputs on a schedule.

01

Feeds that collect relevant material on a schedule

  • Subscribe to topics in natural language: "new clinical trial results for SGLT2 inhibitors" or "SEC enforcement actions mentioning AI"
  • New content is matched, indexed, and stored in topic-specific collections
  • Feeds are queryable, so you can ask questions directly against the collected material
Research feeds collecting regulatory content on automated schedules
02

Agents that summarize and compare

  • Summarization agents produce concise, cited outputs from feed content
  • Rolling comparisons: this week's summary vs. last week's: what changed?
  • Outputs are versioned and accessible via API, webhook, or dashboard
Summarization agent configured for weekly regulatory intelligence
03

From manual research to structured intelligence

  • Analysts spend time on judgment, not gathering; the agent does the collection
  • Every claim in the summary cites its source passage
  • Chain outputs to downstream agents for classification, extraction, or alerting
Research pipeline connecting sources to summarization agents

What this looks like in a product

A research agent produces a weekly summary of regulatory developments

The feed collects new regulatory content throughout the week. On Friday, the summarization agent runs and produces a cited brief.

  • The research team gets a structured, cited summary, not a pile of links to read.
  • Week-over-week comparison highlights what is new since the last run.
  • The brief is delivered via webhook to Slack and accessible via API.

Example user experience

A research analyst reviews the weekly regulatory brief

The agent ran overnight. The analyst sees a cited summary of everything new.

Question

What regulatory developments were captured this week?

Agent-generated summary

Three new developments this week: (1) the SEC proposed updated disclosure requirements for AI-generated financial analysis, (2) the EU published draft guidelines on AI in clinical decision support, and (3) Canada's OSFI issued a consultation paper on model risk management for generative AI.

  • Feed: Regulatory Developments
  • Agent: Weekly Summarizer
  • Documents matched this week: 7

An AI that shows its work.

Cited answers. Controlled context. A clear path from evaluation to production.

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