Operating context for companies and agents

Your company’s operating context

OpContext sits between raw company activity and the people or agents that need to act on it. It turns calls, chats, documents, customer feedback, and development discussions into a reviewable map of what your company knows, what it is deciding, and what should happen next.

Decisions Open questions Commitments Risks Next steps

Clear records of decisions, open questions, commitments, risks, roadmap signals, and next steps — with links back to where each came from.

The gap

Raw activity is not operating context

First

Companies already produce the signals they need: customer objections, roadmap pressure, founder decisions, support patterns, legal concerns, and product risks. They appear across calls, chats, tickets, notes, documents, and internal work.

Then

Those sources are useful, but they are too scattered and noisy to hand directly to a person or agent at decision time.

With OpContext

OpContext distills them into operating context: what changed, what matters, what remains unresolved, and what should happen next.

OpContext prepares the context people and agents need before the next decision, prompt, task, or customer conversation.

How it works

From raw signal to operating context

A conversation becomes a clear record the team can inspect, correct, and retrieve later.

Raw signal Before
“The 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
Distilled operating context After

What changed

  • The buyer is interested, but legal needs to see where recommendations came from.
  • The pilot is now partly about trust and provenance, not just product value.
  • Product wants customer conversations translated into roadmap implications.

What should happen next

  • Prepare a pilot sample that shows where each recommendation came from.
  • Ask legal what evidence view is sufficient for approval.
  • Review whether the pilot is expanding beyond the first wedge.

Open risks

  • Evidence may become a buying criterion.
  • Roadmap requests could broaden the pilot before the team is ready.

Where it starts

Built for the work after the conversation

01

Sales to product signal

Turn customer language, objections, urgency, and implied promises into product, roadmap, and development context.

02

Founder operating context

Track what changed after important conversations: assumptions, decisions, risks, open questions, and next steps.

03

Roadmap implications

See which conversations are creating roadmap pressure — and what evidence supports the change.

04

Context for agents

Give Codex, ChatGPT, and internal agents the current context they need before they act: decisions, constraints, open questions, risks, and the evidence behind them.

Trust model

Context you can inspect before you act on it

Evidence-linked

Records point back to the conversation, document, note, or decision they came from.

Reviewable

Draft output stays separate from reviewed company knowledge until a human promotes it.

Shaped for work

The same underlying context can be viewed by founders, product, sales, development, support, and agents.

Private beta

Join the first teams shaping OpContext

We are looking for teams with real operating pressure around context: sales calls that should inform product, founder or advisor conversations that change direction, customer feedback that affects roadmap, or agents that need better context before they act.

Tell us which signals you need to preserve and where they should show up.