Natural-Language Filtering
Type the list you want and it builds the filter and the sort for you, then says in one sentence what it understood. That last part is the point: a filter nobody typed is only worth trusting when it says what it did.
Reading the sentence
parsedhot leads in California, newest first
Two conditions, both of which must hold, and no date range because you named none.
Product figures from the platform’s own defaults - not customer averages
How it works.
The columns travel with the question
The request carries the grid's own column definitions, so the answer names fields that exist rather than fields it imagined. A grid asking on behalf of leads and one asking on behalf of deals therefore get different answers out of the same sentence.
Four kinds of condition come back
Text with contains, equals, starts with and their negatives. Numbers with the comparisons and a range. Sets with a list of values. Dates with a from and a to. A sort order arrives beside it as a column and a direction.
An explanation travels with the answer
It states what was understood, in one sentence, and that sentence is shown with the result. Reading it is how you tell a filter that answered your question from one that answered a nearby question convincingly.
The rows narrow and reorder in one go
The filter and the sort are handed to the grid together, so nothing settles twice while you watch it. Once they land they are ordinary grid state, which is why the ordinary clear control takes them off again.
One moment in every read.
Every read passes through the same seven. Natural-Language Filtering is the lit one, and everything either side of it is a different page in this category.
- 01Source
the call or the thread it reads
- 02Transcribe
audio into words, with speakers
- 03Read
the pass over the whole of it
- 04Judge
the score, the sentiment, the intent
- 05Extract
the fields and follow-ups pulled out
- 06Write
what lands back on the record
- 07Review
a person checking the machine
The specifics.
8 facts- Endpoint
- Takes a sentence, a record kind, and the column definitions of the grid that asked
- Returns
- A filter model, a sort model, and one sentence explaining the reading
- Condition families
- Text, number, set and date, each with the operators that kind allows
- Mounted
- On the toolbar of all nineteen grids that carry one
- What it applies
- Both halves. The conditions narrow the rows and the sort reorders them together
- Clearing it
- The grid's own clear control, because what arrived is ordinary filter state
- Shown back
- The explanation sits with the result, so a filter nobody typed still accounts for itself
- Not the same as
- This writes the filter from a sentence. Keeping one you built by hand is Saved Views
What it reads, and what reads it.
Nothing here invents its input. These are where the material comes from, and where the verdict goes afterward.
More in Intelligence
13 capabilitiesAI that proposes edits to the record - an insight becomes a field once you accept it.
A supervisor who used to open the audio reads it instead: what the call was about, how it went, what was asked for, what it scored. One reading, one answer.
One to six sentences on the record covering why the call happened and what was agreed, so nobody reading the list has to open the audio to find out.
Finding yesterday's bad calls is a filter, not an afternoon. Positive, neutral or negative on every analyzed call, kept in a field of its own you can sort on.
How the agent sounded, how the customer sounded, one word for the pair. Chosen words rather than a fixed list, so a call can close politely and grudgingly.
A month of calls gets reviewed by whoever had time. Every call carries five numbers instead, and the overall is judged in its own right rather than averaged.
Nobody re-listens to check the disclosure went out. Every call is scored against what compliance means on your floor, with a missing one excluded, not passed.
What the customer asked for and what your agent promised, kept as two lists, because they are two different obligations and only one of them is yours to keep.
A promise made out loud is worth nothing until it sits on a day. Callbacks and meetings come off the call with the time said, real the moment you accept.
A coaching note never quotes the customer back at a rep who did not say it. Four of six engines return the channel each side was on, one control swaps them.
A collections call and an admissions call are not judged the same way. Fifteen verticals ship knowing the difference. What comes back still reads the same.
A thread is read only when somebody on it is one of your leads. No match and nothing is sent anywhere, so mail that is not about a customer is left alone.
A draft or a rewrite that lands in the composer and stops there. The subject is a suggestion, every word editable, and nothing leaves until a person sends it.
OpenAI, Azure, Anthropic, Gemini, Bedrock and ten more. When one starts timing out mid-afternoon the work moves down the chain rather than stopping on you.
The rest of the platform.
Five more categories, all on the same record and the same bill. Each card names three of its capabilities, so you can tell from here whether it is worth opening.
Intelligence
See natural-language filtering on your own floor.
Thirty minutes, your numbers and your data. We will set natural-language filtering up live and you can decide from the thing itself rather than from this page.
14-day trial · no card · migration included