Context Engineering

Your AI tools have no idea who you are.

Every sales call, every deal, every hard-won positioning decision — locked in your team's heads and scattered across 15 tools. Context engineering pulls it together into a system your AI actually uses. Deployed in 3 weeks.

The $200/seat/month tool that knows nothing

Context scattered across 15 tools

HubSpot, Google Docs, a slide deck nobody can find. Your AI sees none of it.

Every prompt returns generic output

You pasted your positioning doc into the chat. It still writes like it's never heard of your buyer or your last three lost deals.

Every conversation starts from zero

ICP, pricing, competitive landscape — re-explained every session. 30 minutes before anything useful happens.

Nothing compounds

Six months in, your AI is no smarter than day one. Every license dollar is a subscription to amnesia.

What context engineering actually is

It's not prompt engineering. Prompt engineering is asking better questions. Context engineering is building the memory that makes every question productive.

You don't need polished docs. We take the fragmented mess and build the coherent whole.

Give us the raw material

  • 1

    Call recordings — even messy ones

  • 2

    A CRM export

    Whatever state it's in. We'll find the patterns.

  • 3

    Your competitors' names

    That's it. We do the rest.

  • 4

    Whatever positioning exists

    A website, a deck, a one-pager — or just a conversation about what you do.

  • 5

    How your team actually works

    Doesn't need to be documented. We'll map it together.

  • 6

    Product docs if you have them

    If you don't, we work from what's public.

What you get back

  • 1

    Master context file

    ICP, positioning, messaging pillars, proof points, voice standards — one file your AI loads every session.

  • 2

    Competitor intelligence system

    Full breakdowns for each competitor: positioning, strengths, weaknesses, where you win, where you lose, and how to respond.

  • 3

    Custom skill library

    Meeting prep. Prospect research. Content drafts. Deal scoring. Cold outreach. Competitive battlecards. All tuned to your data.

  • 4

    Connected tools

    HubSpot, Slack, email, calendar. Wired in, not pasted in.

  • 5

    Knowledge graph

    Win/loss patterns, customer objections, product capabilities, sales playbooks — linked so AI pulls the right context automatically.

  • 6

    Measurement baseline

    Week 1 vs. Week 4. The proof your CFO needs.

Case Study

Series B controls engineering platform

Before

Series B, 50+ employees, two continents. GTM running on spreadsheets and tribal knowledge. VP of Sales spending half his week on manual pipeline reviews.

Intervention

Three-week engagement. Knowledge mapping surfaced gaps nobody expected — the system works because it finds what's broken.

After

VP of Sales got his week back. Marketing producing content from actual win/loss data. 47 custom skills compounding daily.

3 weeks

to full deployment

47

purpose-built skills

12x

content output

$0

additional hires

Who builds this

  • 15 years B2B SaaS GTM. Two exits. 2-3x sustained growth.
  • CB Insights → BurnAlong → Pixee
  • 2.5 years building AI-native GTM systems in production
  • The system I sell is the system I run

I run the same system I deploy. Every engagement sharpens it.

Let's talk about your context.

Two engagements per month. Tell me what you're working on — I'll tell you if this fits or doesn't.