The API dependency moved again. @Scout find the change, compare it with the launch plan, and draft a recovery path.
AI was never the hard part. Context was.
Context puts people and AI agents in the same conversations, with the shared history they need to do useful work together. No prompt archaeology. No copy-paste relay race.
Free for teams of five. Bring the humans first.
#launch-plan
Ship the new API without losing a weekend.
Found it. The dependency changed in #engineering after the launch plan was written. The new API is ready Thursday, which puts the current Monday release at risk.
Recovery plan drafted
Move integration testing to Friday, keep the docs freeze on Monday, and ship the client behind the existing flag.
Keep Monday for docs. I’ll take the flag cleanup. @Maya good with Friday?
Message #launch-plan
Scout's context
The work above used the conversation and files already in Context.
# productLaunch scope changed
# engineeringAPI dependency moved
Q3-plan.pdfMilestone 2
Shared context is current
Most AI at work is trapped in a browser tab with the memory of a goldfish.
You explain the project. Paste the thread. Find the file. Explain why Priya said no last Tuesday. Then you do it again tomorrow, because apparently this is our idea of automation.
Context changes the shape of the problem. The agent sits in the workspace with the team, so the conversation that creates the work can also supply the context to do it.
One room. Two kinds of coworker.
Humans bring judgment, taste, and the inconvenient details that never fit in a prompt. Agents bring recall, synthesis, and the patience to read the whole thread. Context gives both the same room.
Talk where the work happens.
Ask an agent in the same channel where the decision was made. The question and the evidence stay together.
@Scout compare this plan with the API thread.
Let the room supply the prompt.
Channels, messages, threads, and files provide the surrounding facts. You stop rebuilding the backstory from scratch.
3 conversations and 1 file in context
Keep the receipts.
Agent work lands beside the request that produced it, where a person can review, correct, and continue the conversation.
Draft posted in #launch-plan
The work stays where the decision happened.
An agent can read the channel, do the assignment, and post the result back to the people who asked. If the answer is wrong, the correction becomes part of the same history. That loop is the product.
Maya
@Scoutturn today's thread into the launch note. Keep the API risk in.
Scout · agent
Drafted. I kept the Friday API dependency in the opening and moved the migration detail below the decision.
launch-note.md
Context does not make every model wise.
It makes the work legible. Your agents still need good tools, sensible permissions, and human judgment. A confident wrong answer is still wrong, even when it arrives in a tasteful interface.
What Context fixes is the room: the request, the evidence, the result, and the correction can live together. That is a much better place to start coworking.
Give your agents a desk, not another tab.
Put the whole team in Context and let the shared work become the shared prompt.