One shared context for product managers
Your product knowledge is scattered across Jira, Confluence, Slack, and Notion. Shared context pulls it into one layer that every Idam AI agent reads. Set it once, and stop re-explaining your product for every task.
connected in one layer
reads the same context
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Six tabs open. Nothing talks to anything else.
Set once. Read by every agent.
Your product context is everywhere and nowhere
The average PM works across Jira, Confluence, Slack, and Notion in a single afternoon. Each tool holds a piece of the picture, and you are the only thing connecting them. That is context fragmentation, and it taxes every decision you make.
You re-explain the same thing, again
Every new tool, every new chat, every new doc starts with you typing out who the product is for and what you already shipped. The fifth time is no faster than the first.
The answer is in a tool you are not in
The decision lives in a Slack thread. The spec is in Confluence. The ticket is in Jira. You spend the first twenty minutes of every task just finding the pieces.
Copy, paste, repeat
You move context between tools by hand. A summary into Notion, a status into Slack, a requirement into Jira. The work is real, and none of it ships product.
Things fall out of sync
The PRD says one thing, the ticket says another, and the Slack channel says a third. Nobody is wrong on purpose. The context just drifted.
One layer that holds what your product actually is
Shared context is the foundation Idam AI is built on. It holds who you serve, what you have shipped, your goals, and the live data synced from your stack. It sits underneath every agent, so the AI PRD writer and the feedback analyzer work from the same picture you do.
The Context Hub, where it all lives
The Context Hub is the single place your product knowledge sits. Each block holds a part of the picture, and each shows you exactly what is set, indexed, or still syncing. No black box, no guessing what the agents know.
- Set product, audience, and goals once during onboarding
- Connected tools index automatically into the same layer
- Every agent reads from it, no agent owns it
- Update it anywhere and the change reaches every agent
From scattered tools to one answer
Four steps run underneath the platform. You set things up once, and the flow repeats every time you open an agent, from the AI PRD writer to the one-pager creator.
Integrations feed in
Connect Jira, Confluence, Slack, Notion, GitHub, and Linear. Epics, docs, threads, and tickets index into your workspace automatically.
The Context Hub processes it
Your onboarding answers and synced data merge into one structured layer: product, audience, goals, history, and live signals from your stack.
Every agent reads it
When you open the PRD agent, the feedback analyzer, or the one-pager creator, it loads your context first. No setup, no briefing, no re-explaining.
You get grounded answers
Responses arrive pre-loaded with your product reality instead of generic guesses. The same context carries across tasks, sessions, and agents.
Less assembling. More deciding.
Shared context is not a feature you check off. It is the difference between fighting your tools and getting your time back. Here is what that feels like day to day.
You start in the middle, not at zero
No warm-up tax. You open an agent and it already knows your product, so you spend your time on the decision, not the setup.
You stop holding it all in your head
The context lives in the workspace, not in your memory. You can step away from a project for two weeks and pick it back up without re-deriving where things stand.
Your outputs agree with each other
The PRD, the one-pager, and the user stories all draw from the same source. When the context is consistent, the artifacts are too.
You hand off without the handoff
A brainstorm flows straight into a PRD. A feedback analysis flows into requirements. The next agent already has what the last one learned.
Connects to the stack you already use
Connect a source and its data indexes into your shared context, from issue trackers and docs to product analytics like Mixpanel and PostHog. You keep working where you work, and every agent gets the benefit. See the full list on the integrations overview.
More integrations ship regularly. Need one that is not here? Tell us in the app and we will prioritize it.
Zero re-explaining across every agent in your workspace. The context you build feeds all nine of them.
Everything you need to know
What shared context connects to
Memory
Shared context holds what your product is. Memory holds what you and the agents have learned over time. Together they keep every session informed.
Learn more →Integrations
See every tool you can connect to your shared context, from Jira and Confluence to Slack, Notion, GitHub, and Linear.
Learn more →Multi-agent orchestration
Shared context is what lets agents hand work to each other cleanly. See how they coordinate on bigger jobs without losing the thread.
Learn more →AI PRD Writer
The first agent most PMs reach for, and a clear example of shared context at work: it drafts PRDs already grounded in your product.
Learn more →