K990321 · Alphamed, Inc. · MNR · Jun 1, 1999 · Anesthesiology
Device Facts
Record ID
K990321
Device Name
ALPHAMED GEMINI SENSOR, SNORING SENSOR
Applicant
Alphamed, Inc.
Product Code
MNR · Anesthesiology
Decision Date
Jun 1, 1999
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 868.2375
Device Class
Class 2
Indications for Use
The disposable sensors are applied to the patient during a sleep study evaluation. The sensors provide a signal which is recorded as airflow and/or breath sounds. Trained professionals (physicians, clinicians) interpret the recorded signals in support of sleep study diagnosis. The sensors are contraindicated for use as apnea monitoring sensors.
Device Story
Disposable, single-patient-use sensors for sleep study evaluations. Input: temperature changes (airflow) and vibrations (breath sounds). Principle: self-generating signal technology; no internal electronics or software. Application: medical-grade tape under nostrils/above lip (airflow) or on throat (breath sounds). Connection: AlphaMed Adapter Cable to existing sleep recording equipment. Output: raw signal for recording/amplification by external device. Operation: clinician-applied in clinical sleep study settings. Benefit: provides diagnostic data for sleep study interpretation. Does not perform apnea monitoring.
Clinical Evidence
Bench testing only. Biocompatibility testing per ISO 10993 and electrical safety certification per IEC 601-1, Subclause 56.3, Paragraph c.
Technological Characteristics
Temperature and vibration sensitive material with conductive ink electrodes. Lead wires comply with 21 CFR Part 898. Passive, self-generating signal technology. No internal electronics or software. Disposable, single-patient use. Interfaces with existing recording equipment via proprietary adapter cables.
Indications for Use
Indicated for patients undergoing sleep study evaluations requiring recording of nasal/oral airflow and breath sounds. Contraindicated for apnea monitoring.
Regulatory Classification
Identification
A breathing (ventilatory) frequency monitor is a device intended to measure or monitor a patient's respiratory rate. The device may provide an audible or visible alarm when the respiratory rate, averaged over time, is outside operator settable alarm limits. This device does not include the apnea monitor classified in § 868.2377.
Predicate Devices
EdenTrace Airflow Cable Model 3171 and Sleep Lab Airflow Cable Model 3170 Sensor (K913749)
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# AlphaMed, Inc. 3989 Central Av. N.E. Suite 560 Minneapolis, MN., 55421
# Summary of Safety and Effectiveness
| Company Name: | AlphaMed, Inc.<br>3989 Central Ave. NE<br>Suite 560<br>Minneapolis, MN 55421 |
|----------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Contact: | Peter Stasz, President CEO |
| Phone: | (612) 789-8280 |
| Fax: | (612) 781-4120 |
| Summary Date: | January 28, 1999 |
| Trade Name: | AlphaMed Breathing/Snoring Sensors, Snoring Sensors |
| Common Name: | Breathing Sensors, Snoring Sensor |
| Classification Name: | Predicate breathing sensors have been found to be substantially<br>equivalent to 21 CFR 868.2375, Breathing Frequency Monitor.<br>Class II, BZQ<br><br>Predicate snoring sensors have been found substantially<br>equivalent to 21 CFR 868.2375, Ventilatory Effort Recorder,<br>Class II, MNR |
| Predicate Device(s): | 510(k) Number: K913749<br>Manufacture: EdenTec inc.<br>Trade Name: EdenTrace Airflow Cable Model 3171and Sleep<br>Lab Airflow Cable Model 3170 Sensor<br><br>510(k) Number: K940015<br>Manufacture: Pro-Tech Inc.<br>Trade Name: Snoring Microphone |
## 1.0 Description of Sensors
The Breathing/Snoring Sensors and Snoring Sensors are disposable, single patient use devices. The Breathing/Snoring Sensors combine breathing and snoring sound sensing capabilities in one sensor.
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The sensors use a self-generating signal technology. The sensors contain no electronics or software and require no special interface electronics.
The sensors attach to the patient with medical grade tape. The Breathing/Snoring Sensors are applied under the nostrils and above the lip. The Breath Sounds sensors are applied to the throat of the patient.
The sensors connect to existing recording equipment by means of an AlphaMed Adapter Cable. The existing recording equipment amplifies the signal the sensors generate in response to a temperature change and/or a vibration due to breath sounds. The existing recording device provides patient electrical isolation for the applied sensors.
### 2.0 Intended Use of Sensors
The disposable sensors are applied to the patient during a sleep study evaluation. The sensors provide a signal which is recorded as airflow and/or breath sounds. Trained professionals (physicians, clinicians) interpret the recorded signals in support of sleep study diagnosis. The sensors are contraindicated for use as apnea monitoring sensors.
### 3.0 Technological Characteristics
The sensors consist of a temperature and vibration sensitive material covered with conductive ink to collect the electrical charge generated by the temperature and vibration sensitive material. The conductive ink surface has electrodes lead wires attached. The lead wires comply with 21 CFR Part 898 Performance Standards for Electrode Lead Wires and Patient Cables.
The lead wires interface to existing sleep recording devices by a supplied Adapter Cable. Different Adapter Cables are available to support interface to various sleep recording instruments.
{2}------------------------------------------------
### 4.0 Data Summary
Laboratory data are presented to establish the performance of the Breathing/Snoring Sensors and Breath Sounds Sensors. Material biocompatibility data in compliance with ISO 10993 are provided or prior use of materials with other medical devices establishes the biocompatibility of the sensor materials. A Certification of Conformance to the Medical Device Safety Standard IEC 601-1, Subclause 56.3, Paragraph c is provided.
### 5.0 Conclusions
The laboratory data, biocompatibility information and certification presented support the conclusion of the safety and effectiveness of the Breathing/Snoring Sensors and Breath Sounds sensors.
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Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo is circular and contains the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. Inside the circle is an emblem featuring a stylized caduceus, which is a symbol often associated with healthcare and medicine. The caduceus in the logo is depicted with a single staff entwined by a serpent, topped with a pair of wings.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
JUN 1 1000
Mr. Peter Stasz AlphaMed, Inc. 3989 Central Avenue, N.E., Suite 560 Minneapolis, MN 55421
Re: K990321 AlphaMed Breathing/Snoring/Sensors, Snoring Sensors Regulatory Class: II (two) Product Code: 73 MNR Dated: April 29, 1999 Received: April 30, 1999
Dear Mr. Stasz:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (Premarket Approval), it may be subject to such additional controls. Existing major requlations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 895. A substantially equivalent determination assumes compliance with the Current Good Manufacturing Practice requirements, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic QS inspections, the Food and Drug Administration (FDA) will verify such Failure to comply with the GMP regulation may result in assumptions. regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
{4}------------------------------------------------
Page 2 - Mr. Peter Stasz
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4648. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification"(21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll-free number (800) 638-2041 or (301) 443-6597, or at its internet address "http://www.fda.gov/cdrh/dsma/dsmamain.html".
Sincerely yours,
Thomas J. Callahan
Thomas J. Callahan, Ph.D. Director Division of Cardiovascular, Respiratory, and Neurological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{5}------------------------------------------------
# AlphaMed, Inc. 3989 Central Av. N.E. Suite 560 Minneapolis, MN., 55421
# Summary of Safety and Effectiveness
| Company Name: | AlphaMed, Inc.<br>3989 Central Ave. NE<br>Suite 560<br>Minneapolis, MN 55421 |
|----------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Contact: | Peter Stasz, President CEO |
| Phone: | (612) 789-8280 |
| Fax: | (612) 781-4120 |
| Summary Date: | January 28, 1999 |
| Trade Name: | AlphaMed Breathing/Snoring Sensors, Snoring Sensors |
| Common Name: | Breathing Sensors, Snoring Sensor |
| Classification Name: | Predicate breathing sensors have been found to be substantially<br>equivalent to 21 CFR 868.2375, Breathing Frequency Monitor.<br>Class II, BZQ<br><br>Predicate snoring sensors have been found substantially<br>equivalent to 21 CFR 868.2375, Ventilatory Effort Recorder,<br>Class II, MNR |
| Predicate Device(s): | 510(k) Number: K913749<br>Manufacture: EdenTec inc.<br>Trade Name: EdenTrace Airflow Cable Model 3171and Sleep<br>Lab Airflow Cable Model 3170 Sensor<br><br>510(k) Number: K940015<br>Manufacture: Pro-Tech Inc. |
## Description of Sensors 1.0
The Breathing/Snoring Sensors and Snoring Sensors are disposable, single patient use devices. The Breathing/Snoring Sensors combine breathing and snoring sound sensing capabilities in one sensor.
{6}------------------------------------------------
The sensors use a self-generating signal technology. The sensors contain no electronics or software and require no special interface electronics.
The sensors attach to the patient with medical grade tape. The Breathing/Snoring Sensors are applied under the nostrils and above the lip. The Breath Sounds sensors are applied to the throat of the patient.
The sensors connect to existing recording equipment by means of an AlphaMed Adapter Cable. The existing recording equipment amplifies the signal the sensors generate in response to a temperature change and/or a vibration due to breath sounds. The existing recording device provides patient electrical isolation for the applied sensors.
### 2.0 Intended Use of Sensors
The disposable sensors are applied to the patient during a sleep study evaluation. The sensors provide a signal which is recorded as airflow and/or breath sounds. Trained professionals (physicians, clinicians) interpret the recorded signals in support of sleep study diagnosis. The sensors are contraindicated for use as apnea monitoring sensors.
### 3.0 Technological Characteristics
The sensors consist of a temperature and vibration sensitive material covered with conductive ink to collect the electrical charge generated by the temperature and vibration sensitive material. The conductive ink surface has electrodes lead wires attached. The lead wires comply with 21 CFR Part 898 Performance Standards for Electrode Lead Wires and Patient Cables.
The lead wires interface to existing sleep recording devices by a supplied Adapter Cable. Different Adapter Cables are available to support interface to various sleep recording instruments.
{7}------------------------------------------------
### Data Summary 4.0
Laboratory data are presented to establish the performance of the Breathing/Snoring Sensors and Breath Sounds Sensors. Material biocompatibility data in compliance with ISO 10993 are provided or prior use of materials with other medical devices establishes the biocompatibility of the sensor materials. A Certification of Conformance to the Medical Device Safety Standard IEC 601-1, Subclause 56.3, Paragraph c is provided.
### 5.0 Conclusions
The laboratory data, biocompatibility information and certification presented support the conclusion of the safety and effectiveness of the Breathing/Snoring Sensors and Breath Sounds sensors.
{8}------------------------------------------------
Image /page/8/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a stylized abstract symbol resembling an eagle or bird in flight, composed of three curved lines. The symbol is enclosed within a circular border, and the text "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA" is arranged around the border of the circle.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
## 1 1999 JUN
Mr. Peter Stasz AlphaMed, Inc. 3989 Central Avenue, N.E., Suite 560 Minneapolis, MN 55421
Re : к990321 AlphaMed Breathing/Snoring/Sensors, Snoring Sensors Regulatory Class: II (two) Product Code: 73 MNR Dated: April 29, 1999 Received: April 30, 1999
Dear Mr. Stasz:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (Premarket Approval), it may be subject to such additional controls. Existing major requlations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 895. A substantially equivalent determination assumes compliance with the Current Good Manufacturing Practice requirements, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic QS inspections, the Food and Drug Administration (FDA) will verify such Failure to comply with the GMP regulation may result in assumptions. regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
{9}------------------------------------------------
Page 2 - Mr. Peter Stasz
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4648. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification"(21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll-free number (800) 638-2041 or (301) 443-6597, or at its internet address "http://www.fda.gov/cdrh/dsma/dsmamain.html".
Sincerely yours,
Thomas J. Callahon
Thomas J. Callahan, Ph.D. Director Division of Cardiovascular, Respiratory, and Neurological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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Page 2-2
Arth A. Cal.
(Division Sign-Off)
Division of Cardiovascular, Respiratory,
and Neurological Devices
510(k) Number
The sensors are contraindicated for support of apnea monitoring.
(Optional Format 3-10-98)
oTC
Concurrence of CDRH, Office of Device Evaluation (ODE)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
existing recording devices in support of diagnostic recording of nasal and oral airflow and recording of breath sounds. The sensors are used with patients who require a sleep study recording.
The disposable AlphaMed Inc. Breathing/Snoring Sensors and Snoring Sensor are used with
510(k) Number (if known): _ K990321 ARFLout SNORING Device Name: ALF itA Mes ﮐﮯ ﺗﺎ ﮨﮯ ﮐﮧ ﻧﺎﺩ ﮐﮯ ﺗﮏ ﮨﮯ ﮐﮧ ﺗﮏ ﮨﮯ ﮐﮧ ﺗﮏ ﮐﮯ ﮐﯿﺎ ﮐﮧ ﮐﮯ ﺗﮏ ﮨﮯ ﮐﮧ ﺗﮏ ﮐﮯ ﮐﯿﺎ ﮐﮧ ﺍﺱ ﮐﮯ ﺗﮏ ﮨﯿﮟ ﮐﮧ ﺍﯾﮏ ﮐﮯ ﺗﮏ ﮨﮯ ﮐﮧ ﺍﺱ ﮐﮯ ﮐﮧ ﺍﺱ ﮐﮯ ﮐﮧ ﺍﺱ ﮐﮯ ﮐﮧ ﺍﺱ ﮐﮯ ﮐﮧ ﺍﺱ ﮐﮯ ﮐﮧ ﺍﺱ ﮐﮯ ﮐﮧ ﺍﺱ ﮐﮯ ﮐﮧ ﺍﺱ Indications For Use:
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14
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.