Think inside your AI world.
Amplitude + HubSpot through Unl
The accounts your team is chasing and the accounts actually using the product should be the same list. Whether they are is a check that spans the analytics and the CRM.
Amplitude + HubSpot through Unl reads account engagement against the pipeline you’re working, judged by the engagement-to-focus rule you set, so the read names the engaged accounts you’re not chasing and the cold ones you are. The rule is held in Unl.
The criterion that binds them
Say you’ve ratified a focus rule: effort goes to accounts above an engagement bar in Amplitude, because a pipeline sorted by deal size instead of real usage spends the week on accounts that were never going to close.
The two naked reads
Amplitude returns account-level engagement and cohorts. HubSpot returns the open deals and their stage. Both are correct and blind to each other, so “am I working the accounts that are actually engaged?” is yours to cross-check by hand.
The one measured answer
Against your rule: two accounts above your engagement bar aren’t in your active pipeline at all, and two you’re chasing hard sit well below it — so the focus list and the usage list have drifted apart, and the read hands you the reconciliation.
And back again
When you lower the engagement bar for a strategic segment, Unl holds the adjusted rule — and the next read aligns the pipeline to engagement as you’ve now defined it.
The answer comes back measured against what you already decided, and why.
A router can put Amplitude engagement beside HubSpot deals. It can’t say you’re chasing the wrong accounts, because the engagement-to-focus rule — the bar that decides who’s worth the week — lives in neither tool.
The lane is live and open to this tool today: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
Read further
Questions people ask
Can AI tell me if I’m chasing the right accounts?
Yes, through Unl. You ratify an engagement-to-focus rule — effort goes to accounts above a usage bar — and Amplitude and HubSpot are read together against it, so the read names engaged accounts you’re not working and cold ones you are.
Isn’t deal size the right way to prioritise?
Deal size ranks the prize, not the odds; an account that never uses the product rarely closes. The rule that prioritises by real engagement lives in Unl, so the read realigns the pipeline to who’s actually using it.
Does Unl change my analytics or CRM?
Unl reads through PostHog and Xero, and can write back on your explicit gesture — it never acts as a side effect of a read.
What this is
Think inside your AI world — you stay in command
Save the thoughts, decisions and targets worth keeping, each with its reasoning, carried into every AI session the moment they matter. A new unit of exchange between you and your AI: the Settled Why with standing that travels. Unprompted.
Your whole AI world. What you decided at the epicentre. It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector — quick to connect, in a couple of steps.
MCP native·Human settled·Model agnostic·Your data
Measured Context
Connect Unl to bring the right information into the moment.
Your sources, read against the criteria you set.
The full product, open. Free at launch.