The context layer between company work and agents

Turn company work into context records

Distill calls, notes, docs, tickets, customer feedback, and development sessions into focused, evidence-linked records people and AI agents can use.

Calls Chats Docs Customer feedback Development sessions

Carry forward what changed, what matters, what remains unresolved, and what should happen next.

Raw company work
  • Sales calls
  • Advisor notes
  • Support themes
  • Roadmap debates
  • Development sessions
Context record Evidence-linked
What changed

Legal needs provenance before approval.

What matters

The pilot is now a trust test, not only a product test.

Still unresolved

Which proof view is enough?

Ready for people and agents
  • Product signal
  • Roadmap pressure
  • Open question
  • Agent-ready view

The gap

The material is already there

Company work

Useful business context already appears across calls, chats, documents, customer feedback, support patterns, and development work.

Decision-time problem

Those workstreams are too scattered and noisy to hand directly to a person or agent when a decision, prompt, roadmap call, or customer conversation is next.

Operating context

OpContext distills the work into context records: decisions, risks, open questions, promises, roadmap pressure, and the evidence behind them.

How it works

From workstream to context record

A conversation becomes a product surface the team can inspect, correct, and use later.

Sales/advisor/customer conversation Context record Product and roadmap implication
Raw workstream Before
β€œThe buyer liked the demo, but legal keeps asking where each recommendation comes from. They also said the pilot should help product understand what changed after customer calls.”
Call Follow-up note Roadmap discussion
Evidence-linked context record After

Product signal

  • The buyer likes the product, but approval now depends on trust.
  • Legal needs to see where each recommendation came from.
  • The pilot is becoming a test of whether customer conversations can shape the roadmap.

Decision context

  • Show a pilot sample with evidence behind each recommendation.
  • Decide whether roadmap analysis belongs in the first pilot.
  • Keep the first wedge focused on sales-to-product context.

Product and roadmap implication

  • What proof view is enough for legal approval?
  • Is roadmap analysis part of the pilot or a follow-on use case?

Where it starts

Start where conversations change what gets built

01

Sales and customer conversations to product context

Turn buyer objections, advisor feedback, founder decisions, and customer language into context records that shape product, roadmap, and development work.

02

Founder decisions

Carry forward the assumptions, risks, and unresolved questions that change direction after important conversations.

03

Roadmap pressure

See which conversations are pushing the roadmap β€” and what evidence supports the change.

04

Agent context

Give Codex, ChatGPT, and internal agents the current business context before they act.

Trust model

Context you can inspect before you act on it

Evidence-linked

Every context record keeps a path back to the call, document, note, ticket, or development session behind it.

Reviewable

Draft records stay separate until a human reviews and promotes them.

Usable by teams and agents

Founders, product, sales, development, support, and agents can view the same context through the lens of the job.

Private beta

Join the first teams shaping OpContext

We are looking for teams whose conversations already change what gets built: sales calls, advisor feedback, customer objections, founder decisions, roadmap debates, and development sessions.

Tell us which conversations or workstreams need to become operating context records β€” and where they should show up.