The lore itself.

Most teams have a narrative. Few have a system that keeps it true across every email, every JD, every podcast. We build that system.

see how it works
§ 02
What your team unlocks

The narrative, finally usable

When the canonical narrative is wired into the LLMs your team already uses, every output produces on-narrative copy by default — drafted faster, in voice, by anyone.

Sales
Outbound that sounds like the founder, drafted in seconds. Replies that carry the same voice across every rep.
Hiring
JDs and candidate outreach that read consistent with how the team actually pitches the company — so the right people self-select in.
Investors
Updates that don't contradict last quarter's deck or the founder's last podcast appearance.
Customers
Anyone on the team can answer a question in voice, with precision. Support, success, sales — same canonical narrative underneath.
Drift
Surfaces in the team's journal, not in the press. Caught early, fixed as evidence accrues.

The narrative used to stop at a positioning doc that lived in a drawer. We make it live infrastructure.

§ 03
Why now

Two futures

Every team is generating external content with LLMs. The narrative is the gap. The gap widens daily.

Without
Voice fragments. The founder repeats themselves in meetings. Hires misunderstand the ICP. Customers buy the wrong thing for the wrong reason. By the time it's measurable, it's a year of repair.
With
Every output produces on-narrative copy by default. The company speaks one voice across email, JD, podcast, board update — without anyone gatekeeping every output.

Most messaging tools assume authorship and ship generic output. Most positioning consultants chase external signals. We do the opposite. Human-authored work, deployed as infrastructure, kept alive by the team's lived signal.

§ 04
Operating principle

Engine surfaces. Katie decides.

The contrarian bet underneath the product.

Most AI-powered narrative tools assume authorship. They ship generic output and call it personalized. Our stance is the opposite. The narrative is human-authored work; the engine is the deployment surface that makes it usable across every output a team generates.

AI never produces canonical narrative output that ships to clients on its own. It surfaces options with evidence — Katie reads the surfacing, Katie makes the calls. Her decisions become the canonical narrative.

tension options evidence Katie's call canonical narrative

The differentiator isn't AI sophistication — it's the human judgment underneath, made deployable.

§ 05
The work, briefly

Custom, layered, priced to scope

Every engagement is built from four layers. We pick the shape together on the sales call.

L1
Foundation
The Narrative Architecture — Katie's full audit and synthesis. The canonical artifact your company runs on.
once
L2
Implementation
Markdown deployment so any LLM tool your team uses can read the narrative natively.
once
L3
Engine
Live MCP server in your team's tools — linter, drafter, retrieval. You pick the cadence.
subscription
L4
Loop
Feedback through Slack, email, or whatever channel the team already uses. The team's signal updates the narrative.
subscription

Pricing is judgment-based and built live in the sales call. You leave the call with a proposal in your inbox — no waiting, no follow-up build.

§ 06
Discovery

Book a 30-minute call

We'll listen, ask a few sharp questions, configure a proposal live, and you'll have it in your inbox before the call ends.

Or send your team's most recent investor update or homepage hero — we'll send back a one-paragraph read on its narrative shape, no pitch, just our eye.

katie@loreipsum.co →