Introducing STORY
The analyst that never
clocks out
STORY operates directly on the data lake, runs on a standing brief, and pushes finished intelligence to you — before you think to ask. It has a job, not a chat window.
STORY — active brief · running since 30 days
How STORY works
Four things that make it different
Not a faster way to ask questions. A way to stop asking.
Brief-driven,
not prompt-driven
Brief STORY once and it runs on its own clock — watching, escalating, and pushing finished intelligence to you. You don't re-open it. You don't re-ask. It produces work while you're doing something else.
Prove it: brief STORY and a copilot the same way. Walk away for 30 days. One produces a stack of analyses tied to real data movements. The other produces nothing.
On the data lake,
not the dashboard
Every copilot in this category sits on top of pre-aggregated analytics. STORY works directly on the raw corpus — novel clustering, custom embeddings, statistical work no dashboard pre-defines. It does what the product doesn't ship.
Prove it: ask the same novel-clustering question. STORY returns emergent affinity clusters not in any taxonomy. A copilot returns a summary of an existing dashboard.
Finished work,
not summaries
A copilot narrates the dashboard it's been handed. STORY produces the deliverable — the brand brief, the competitive scan, the cultural read — multi-market, on one methodology, comparable by construction. It replaces the analyst's output.
Prove it: the Monday Brief lands in the inbox before standup. A 4-market scan on one prompt. 200 high-signal mentions, not 20,000 raw ones.
Methodology that
compounds
A copilot is stateless — every session starts from zero. STORY captures your team's approach as named, versioned, owned prompt libraries that survive attrition and scale across hires. Your method becomes infrastructure.
Prove it: a junior analyst producing senior-grade output from the captured house method — library named, owner credited.
The category vs STORY
STORY operates on the data lake, not the dashboard. It has a job, not a chat window.
| AI Copilot (everyone else) | STORY | |
|---|---|---|
| Mode | Waits for a question in a chat window |
|
| Data access | Chat layer over pre-aggregated analytics — capped at what the reporting product exposes |
|
| Output | Summary of an existing dashboard or report |
|
| Memory | Stateless — every session starts from zero |
|
| Data corpus | Open-web scrape or whatever the vendor's index covers |
|
What it looks like in practice
Finished work, not prompts
Monday brief
Standing brief, zero re-prompts
Brief STORY once on a Monday. Every Monday after that, the brief lands in your inbox before standup — with last week's signal, not last year's taxonomy.
Multi-market scan
One prompt, comparable by construction
One brief, four markets, one methodology. Not four separate outputs assembled by hand. Comparable because STORY runs them the same way.
Early warning
The right 200 mentions, not 20,000
STORY doesn't surface everything. It escalates what crosses your threshold — the emerging cluster, the tone shift, the affinity group that isn't in any pre-built taxonomy.
The corpus underneath
Not a wrapper on the web
Fifteen years of permissioned, audience-grade data. The kind of depth that lets STORY surface clusters that don't exist in any pre-built taxonomy.
Every other tool in this category is a chat layer over whatever the vendor's index covers. STORY works directly on the raw corpus — which means it can do statistical work that no dashboard pre-defines.
Get early access
Give STORY a job.
Walk away.
Request access and we'll set up your first standing brief. No onboarding marathon — just a brief, a corpus, and an agent that works while you don't.
Brief once
Write it like you'd brief a senior analyst. STORY runs it indefinitely — no re-prompting, no re-opening.
Escalation on your terms
Set the threshold. STORY escalates when the data crosses it — not when you remember to check a dashboard.
Finished work delivered
Brand briefs, competitive scans, cultural reads — not summaries. In your inbox before you think to ask.