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Grounding & Memory

InaiAgents don't answer from thin air — they retrieve and reason over your real project data.

Retrieval, not prediction​

When an InaiAgent answers, it first retrieves the relevant project records, then reasons over them. The insight is anchored to what your data actually says.

Confidence travels with the data​

Different tools expose different levels of detail. InaiBridge records how trustworthy each signal is and carries that confidence through to the answer, so you always know how much to trust a given conclusion. A less-detailed source degrades gracefully to "uncertain" — never to a confident-but-fabricated claim.

Three kinds of memory​

A grounded answer can draw on more than the current snapshot:

  • Current state — what your connected records say right now (what's at risk, what's overdue).
  • Similar past situations — earlier projects that resemble the current one, especially ones that slipped, so a risk is judged against precedent rather than in isolation.
  • Recalled context — relevant things noted earlier (for example, a priority leadership has flagged) that bear on the current question.

A Project Intelligence briefing composes all three; a quick question may only need the first.

Ground or abstain​

When your data doesn't hold the answer, an InaiAgent says so — plainly — rather than inventing one. It would rather tell you "the records don't show that" than manufacture a confident-sounding claim. Grounding is the point: reason over what's real, abstain on what isn't.

Jiggle grounds on what you're looking at​

Jiggle, the conversational companion, grounds on your data and on the surface you're using:

  • In the Portfolio, it can scope to the program you've selected.
  • In the Inbox, it grounds on the approval gate you're viewing.
  • In the Canvas, it draws on your project's context.

Jiggle always states what it's grounded in, so the scope of an answer is never ambiguous — and, like every InaiAgent, it answers only from what that scope actually contains.