What you get
- Recurring intelligence briefings — weekly through election season
- Breakout detection: the story that's about to jump ecosystems
- Narrative histories: when a claim started, who amplified it, how it mutated
Monitoring, message testing, rapid-response drafting, and editorial research — an integrated stack built and operated by one consultant, with a fact-check gate on everything that leaves the building. The tools that normally take an enterprise contract and an analyst team, at boutique speed and cost.
A monitoring system tracking 81,000+ channels across 21 platforms — Twitter/X, Facebook, TikTok, YouTube, Telegram, Truth Social, Substack, podcasts, and the rest of the ecosystem where narratives actually start. Every post is scored for engagement, every channel classified by political lean (hand-audited, not just keyword-guessed), so a briefing can say not just what is spreading but whose audiences it's reaching.
Powers weekly electoral intelligence briefings for the Transgender Freedom Alliance through the 2026 cycle, and the story-detection layer for every other capability on this page.
A daily pipeline that detects the day's most consequential stories, drafts response content in your principal's actual voice — anchored to their real posting history, not generic AI diction — and delivers ready-to-post options with timing and format recommendations. Every factual claim is tied to a primary source line before it reaches a phone. The system also learns from what your principal changes: each edit narrows the gap between the draft and what they would have written.
A simulated message-testing pipeline modeled on MaxDiff, the format real survey shops use: 25–30 message variants systematically varied by frame, messenger, and register — including strong opposition messages, written with equal craft — tested against a modeled audience panel and ranked by resonance. What takes a fielded survey weeks and five figures, this triages overnight.
For organizations running newsletters or longform programs: the monitoring system detects the stories worth writing, and the pipeline delivers structured outlines with primary-source bundles — the ruling, the filing, the original quote with context, the receipts — plus a fact-check pass. Your writer keeps the voice and the byline; they start from a researched skeleton instead of a blank page.
Runs a twice-weekly publication schedule — outline to published piece — and the same research discipline backs ad-claim substantiation for Reproductive Freedom for All (with Spark Solutions).
The monitoring system feeds everything else. Your message test uses the narrative that's actually spreading; your rapid response knows the story's history. Four vendors give you four databases that have never met.
Every capability has a blocking fact-check built in — because in this work, one wrong claim costs more than a year of right ones. Deliverables cite primary sources, and uncertainty is labeled, not buried.
Automation does the watching, sorting, and drafting. People make every judgment call that touches the public: what to say, whether it's true, when to post.
This stack was built lean because it had to be. You get enterprise-class capability without the enterprise contract, and decisions from a principal — not an account manager.
| Model | What it looks like |
|---|---|
| Monitoring retainer | Recurring intelligence briefings on your issue space — biweekly baseline, weekly through election season. |
| Election sprint | The full stack, high cadence, for a defined window: monitoring, rapid response, and message triage through Election Day. |
| Message-test package | Per-narrative testing engagements: your question in, ranked messages and frame analysis out, typically inside a week. |
| Build & transfer | I stand up a version of this stack inside your organization, train your team, and hand over the keys. |