How We Use AI to Research Regulation, Tech, and Competitors

Every SendSignal brief starts with a topic — "AI regulation," "competitor landscape," "federal cybersecurity" — and ends with a polished, source-cited briefing. Here's what happens in between.

The pipeline

1. Topic decomposition

When you enter a topic, the system breaks it into research dimensions: recent developments, regulatory changes, key players, quantitative data, and emerging trends. This ensures each brief covers the topic from multiple angles rather than just summarizing one article.

2. Multi-source research

The AI queries a curated mix of sources — industry publications, major news outlets, government databases, research repositories, and public filings. Each source is evaluated for recency, relevance, and credibility.

We don't just scrape headlines. The system reads full articles, extracts specific claims, and identifies data points that support the narrative.

3. Claim verification

Every factual claim in the brief is traced back to its source. If the AI can't find a credible source for a statement, that statement doesn't make it into the final brief. This is the single biggest difference between SendSignal and a raw ChatGPT response.

4. Structured writing

The verified research is assembled into SendSignal's standard briefing structure:

• TL;DR — A 2-3 sentence executive summary
• Context — Background your team needs to understand the topic
• Key Takeaways — The 3-5 most important points, each with a source
• What to Watch — Forward-looking signals to monitor

The writing style adapts to your chosen format — executive, newsletter, minimal, or any of the 16 available styles.

5. Source attribution

Every brief includes a sources section with direct links. Your team can verify any claim and dig deeper on topics that interest them. This builds trust and makes the brief a starting point for discussion, not an endpoint.

Why this matters

Most AI tools generate plausible-sounding text without verifiable sources. That's fine for brainstorming, but it's not good enough for a briefing you're putting your name on.

When your VP asks where a statistic came from, you need an answer. SendSignal gives you one.

Real examples

Here's how the pipeline handles different topic types:

• Regulation: Pulls from government registries (Federal Register, EU Official Journal), legal analysis sites, and compliance publications. Identifies specific rule changes, effective dates, and enforcement actions.
• Competitors: Monitors earnings calls, press releases, product launches, and hiring trends. Quantifies market movements with real data points.
• Technology: Tracks research papers, conference proceedings, patent filings, and product announcements. Distinguishes between hype and production-ready developments.

The result

A brief that takes 60 seconds to set up, runs on autopilot, and gives your team verified, structured intelligence every week. No prompting. No fact-checking. No formatting.

Just the signal.

See the pipeline in action — generate a free sample on any topic.