Prosecution Insights
Last updated: April 19, 2026
Application No. 18/491,070

GUI FOR LAYERED TRANSFORMATIVE AI DATA ARTICLE COMPRESSION

Non-Final OA §103
Filed
Oct 20, 2023
Examiner
PHANTANA ANGKOOL, DAVID
Art Unit
2172
Tech Center
2100 — Computer Architecture & Software
Assignee
Truist Bank
OA Round
1 (Non-Final)
86%
Grant Probability
Favorable
1-2
OA Rounds
3y 0m
To Grant
99%
With Interview

Examiner Intelligence

Grants 86% — above average
86%
Career Allow Rate
639 granted / 739 resolved
+31.5% vs TC avg
Moderate +14% lift
Without
With
+14.4%
Interview Lift
resolved cases with interview
Typical timeline
3y 0m
Avg Prosecution
16 currently pending
Career history
755
Total Applications
across all art units

Statute-Specific Performance

§101
10.6%
-29.4% vs TC avg
§103
53.3%
+13.3% vs TC avg
§102
29.7%
-10.3% vs TC avg
§112
3.9%
-36.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 739 resolved cases

Office Action

§103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . DETAILED ACTION This communication is in response to: Application filed on October 20th, 2023 Claims 1-20 are pending claims. Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 1-20 is/are rejected under 35 U.S.C. 103 as being unpatentable over Koontz, US PG PUB# 2020/0143384 A1 (hereinafter Koontz) in view of Natarajan et al., US PG PUB# 2019/0327330 A1 (hereinafter Natarajan). As for independent claim 1: Koontz discloses a system for generating a graphical user interface for prompting transformative data article compression at least in part by artificial intelligence (AI), the system comprising (see smart summarizer and artificial intelligence in 0041): a computing system of a first entity including one or more processor configured to execute computer-readable instructions, at least one of a memory device and a non-transitory storage device, and a communication interface for operatively connecting the one or more processor to a user device via a communication network (0015 and 0021, see computer system and processor); wherein, upon execution of the computer-readable instructions, the one or more processor operates the computing system to (0015): access a first data article (see accessing terms and conditions as taught by Koontz in 0043); transmit the first data article via the communication network with instructions to generate a graphical user interface that displays at least a portion of the first data article and an operable compression request selector at the user device (0043 and 0044, Koontz discloses transmit data for displaying terms and conditions and a summarize function performed by the user, a GUI compression selector); receive a selector signal indicative of user action on the operable compression request selector (0043, Koontz disclose a summarize button to transmit a summary request); generate a second data article by, at least in part, compressing the first data article using a first AI algorithm trained by a machine-learning technique (0046-0048, Koontz discloses summarizer and artificial intelligence trained using machine learning and customer feedback to generate summary); Koontz does not disclose send the second data article via the communication network with instructions to display at least a portion of the second data article at the user device. Natarajan discloses send the second data article via the communication network with instructions to display at least a portion of the second data article at the user device in 0029-0030. Natarajan discloses the assistant system may send the generated responses to the assistant application and then the assistant application may then present the response to the user at the client system 130. Natarajan further discloses the system retrieve user profile and analyzing requests. Accordingly it would have been obvious before the effective filing date of the claimed invention to a skilled artisan to modify the system of Koontz to incorporate the teaching of Natarajan’s user profile system to Koontz summarization system, thus would improve relevant and quality of the summaries provided to the users (Natarajan, 0030). As for dependent claim 2: Koontz – Natarajan discloses the system of claim 1, wherein compressing the first data article using a first AI algorithm trained by a machine-learning technique comprises translating content of the first data article according at least in part to a stored user profile associated with the user device (see user profile, collecting conversational data, generating and maintaining of stored user profile in Natarajan in 0063). As for dependent claim 3: Koontz – Natarajan discloses the system of claim 2, wherein translating content comprises at least one of: translating from a first language of the first data article to a second language of the second data article; shortening the content; summarizing the content; simplifying the content for comprehension by a user of the user device (Natarajan, 0062-0064, discloses generating adaptive text responses using multiple AI modules). As for dependent claim 4: Koontz – Natarajan discloses the system of claim 2, wherein the content of the first data article comprises at least one of: information about an offering by the first entity; and, terms and conditions for an offering by the first entity (Koontz, 0002, 0043, see terms and conditions as shown). As for dependent claim 5: Koontz – Natarajan discloses the system of claim 1, wherein the one or more processor further operates the computing system to conduct an interrogation session of multiple query exchanges, in succession, in each of which query exchanges the one or more processor operates the computing system to: send an exchange unique query prompt to the user device; and receive a reply signal from the user device; and store at least a portion of the reply signal in a user profile (see user profile in Natarajan, 0062-0063). As for dependent claim 6: Koontz – Natarajan discloses the system of claim 5, wherein the one or more processor further operates the computing system to procure, for any second or subsequent query exchange in an interrogation session, the exchange unique query prompt based at least in part on the user profile (see user profile in Natarajan, 0062-0063, discloses generating dialog prompts that depends on stored user profile information). As for dependent claim 7: Koontz – Natarajan discloses the system of claim 6, wherein the one or more processor further operates the computing system to procure, for the second or subsequent query exchange, the exchange unique query prompt by generating the exchange unique query prompt using a second AI algorithm (Natarajan, 0062-0064, adapting prompts based on user profile and context, generating prompts that vary by query, using multiple AI/ML and models). As for independent claim 8:Claim 8 contains substantial subject matter as claimed in claim 1 and is respectfully rejected along the same rationale. As for dependent claims 9-14:Claims 9-14 contain substantial subject matter as claimed in claims 2-7 and are respectfully rejected along the same rationale. As for independent claim 15:Claim 15 contains substantial subject matter as claimed in claim 1 and is respectfully rejected along the same rationale. As for dependent claims 16-20:Claims 16-20 contain substantial subject matter as claimed in claims 2-6 and are respectfully rejected along the same rationale. It is noted that any citation to specific, pages, columns, lines, or figures in the prior art references and any interpretation of the references should not be considered to be limiting in any way. A reference is relevant for all it contains and may be relied upon for all that it would have reasonably suggested to one having ordinary skill in the art. In re Heck, 699 F.2d 1331, 1332-33,216 USPQ 1038, 1039 (Fed. Cir. 1983) (quoting In re Lemelson, 397 F.2d 1006, 1009, 158 USPQ 275, 277 (CCPA 1968)). The Examiner notes MPEP § 2144.01, that quotes In re Preda, 401 F.2d 825,159 USPQ 342, 344 (CCPA 1968) as stating “in considering the disclosure of a reference, it is proper to take into account not only specific teachings of the reference but also the inferences which one skilled in the art would reasonably be expected to draw therefrom.” Further MPEP 2123, states that “a reference may be relied upon for all that it would have reasonably suggested to one having ordinary skill the art, including nonpreferred embodiments. Merck & Co. v. Biocraft Laboratories, 874 F.2d 804, 10 USPQ2d 1843 (Fed. Cir.), cert. denied, 493 U.S. 975 (1989). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to DAVID PHANTANA ANGKOOL whose telephone number is (571) 272-2673. The examiner can normally be reached M-F, 7:00-3:30 PM. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, can Adam Queler be reached on 571-272-4140. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /David Phantana-angkool/Primary Examiner, Art Unit 2172
Read full office action

Prosecution Timeline

Oct 20, 2023
Application Filed
Nov 29, 2025
Non-Final Rejection — §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
86%
Grant Probability
99%
With Interview (+14.4%)
3y 0m
Median Time to Grant
Low
PTA Risk
Based on 739 resolved cases by this examiner. Grant probability derived from career allow rate.

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