Prosecution Insights
Last updated: May 29, 2026
Application No. 18/653,766

PERSONALIZED FINANCIAL NEWSLETTER GENERATION SYSTEM BASED ON USER DEMOGRAPHIC, INTERESTS, AND PORTFOLIO COMPOSITION

Final Rejection §101§112
Filed
May 02, 2024
Priority
May 02, 2023 — provisional 63/463,429
Examiner
KWONG, CHO YIU
Art Unit
3693
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Nowcasting.ai, Inc.
OA Round
2 (Final)
32%
Grant Probability
At Risk
3-4
OA Rounds
2y 0m
Est. Remaining
38%
With Interview

Examiner Intelligence

Grants only 32% of cases
32%
Career Allowance Rate
104 granted / 325 resolved
-20.0% vs TC avg
Moderate +6% lift
Without
With
+6.1%
Interview Lift
resolved cases with interview
Typical timeline
4y 1m
Avg Prosecution
33 currently pending
Career history
373
Total Applications
across all art units

Statute-Specific Performance

§101
27.8%
-12.2% vs TC avg
§103
53.2%
+13.2% vs TC avg
§102
6.0%
-34.0% vs TC avg
§112
11.7%
-28.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 325 resolved cases

Office Action

§101 §112
DETAILED ACTION This Final Office Action is in response to the application filed on 05/02/2024 and the Amendment & Remark filed on 01/26/2026 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 . Claim Rejections - 35 USC § 112 The following is a quotation of the first paragraph of 35 U.S.C. 112(a): (a) IN GENERAL.—The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor or joint inventor of carrying out the invention. The following is a quotation of the first paragraph of pre-AIA 35 U.S.C. 112: The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor of carrying out his invention. Claims 1-18 are rejected under 35 U.S.C. 112(a) or 35 U.S.C. 112 (pre-AIA ), first paragraph, as failing to comply with the written description requirement. The claim(s) contains subject matter which was not described in the specification in such a way as to reasonably convey to one skilled in the relevant art that the inventor or a joint inventor, or for applications subject to pre-AIA 35 U.S.C. 112, the inventor(s), at the time the application was filed, had possession of the claimed invention. An original claim may lack written description support when (1) the claim defines the invention in functional language specifying a desired result but the disclosure fails to sufficiently identify how the function is performed or the result is achieved or (2) a broad genus claim is presented but the disclosure only describes a narrow species with no evidence that the genus is contemplated. See Ariad Pharms., Inc. v. Eli Lilly & Co., 598 F.3d 1336, 1349-50 (Fed. Cir. 2010) (en banc). While the Applicant specifies in claims 1 and 10 that “generating, by the processor, personalized content information by using the user profile information and processed news articles as input to a generative Artificial Intelligence (AI) model”, there is no written content as to how or what specific Generative AI model is used (i.e. formulas, algorithms, sequence of mathematical steps, process of determination, for example) in order to generate personalized content information using the user profile information and processed news articles as input. The examiner noted that Specification paragraph 0020 mentioned an non-limiting list of AI models that the Generative AI module “may utilize”. However, these AI models are only nominally mentioned without discussion on the process of training a particular model or a particular combination of models to perform the desired function. As such, the disclosure does not objectively demonstrate that the applicant actually invented—was in possession of—the claimed subject matter. While the Applicant specifies in claims 4 and 13 that “wherein the processor is configured to generate the personalized content information by: filtering and categorizing the news articles based on the financial portfolio data and user interests; and generating the personalized content information based on the user profile information and filtered and categorized news articles using the generative AI model”, there is no written content as to how or what specific Generative AI model is used (i.e. formulas, algorithms, sequence of mathematical steps, process of determination, for example) in order to generate personalized content information using the user profile information and filtered and categorized news articles as input. As such, the disclosure does not objectively demonstrate that the applicant actually invented—was in possession of—the claimed subject matter. While the Applicant specifies in claims 5 and 14 that “modifying, by the processor, acronym usage in the user profile information based on the financial education level of the user and the user preference information.”, there is no written content as to how or what specific process of determination are performed (i.e. formulas, algorithms, sequence of mathematical steps, process of determination, for example) in order to modify acronym usage based on the financial education level of the user and the user preference information. As such, the disclosure does not objectively demonstrate that the applicant actually invented—was in possession of—the claimed subject matter. While the Applicant specifies in claims 6 and 15 that “wherein a tone and a reporting style of the personalized content information are adjusted according to the user preference information”, there is no written content as to how or what specific process of determination are performed (i.e. formulas, algorithms, sequence of mathematical steps, process of determination, for example) in order to adjust the tone and reporting style according the user preference information. As such, the disclosure does not objectively demonstrate that the applicant actually invented—was in possession of—the claimed subject matter. While the Applicant specifies in claims 7 and 16 that “wherein the processor is configured to generate the personalized content information by: for the news articles being comprised of a plurality of categories, adjusting a tone and a reporting style for each of the plurality of categories based on the user preference information; and generating a plurality of news segments from the news articles and the user profile information using the generative AI model, each segment of the plurality of news segments is associated with a tone and a reporting style based on the user preference information using the generative AI model, wherein the personalized content information comprises the plurality of news segments and associated tones and reporting styles”, there is no written content as to how or what specific Generative AI model is used (i.e. formulas, algorithms, sequence of mathematical steps, process of determination, for example) in order to adjust tone and reporting style and generate the plurality of news segments. As such, the disclosure does not objectively demonstrate that the applicant actually invented—was in possession of—the claimed subject matter. While the Applicant specifies in claims 9 and 18 that “translating, by the processor, the news articles from a first language to a second language based on the user preference information using the generative AI model, wherein the processor is configured to generate the personalized content information from the user preference information and translated news articles using the generative AI model.”, there is no written content as to how or what specific Generative AI model is used (i.e. formulas, algorithms, sequence of mathematical steps, process of determination, for example) in order to translate the news article from a first language to second language based on the user preference. As such, the disclosure does not objectively demonstrate that the applicant actually invented—was in possession of—the claimed subject matter. The written description requirement can be satisfied if the particular steps, i.e., algorithm, necessary to perform the claimed function were “described in the specification.” In re Hayes Microcomputer Prods, Inc. Patent Litigation, 982 F.2d 1527, 1533-34, 25 USPQ2d 1241, (Fed. Cir. 1992). As such, claims 1-18 are rejected as failing the written description requirement. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-18 are rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more. As an initial matter, the claims as a whole are to a method and a system, which falls within one or more statutory categories. (Step 1: YES) The recitation of the claimed invention is then further analyzed as follow, in which the abstract elements are boldfaced. Claim 1 recites: A method for generating personalized newsletter, the method comprising: collecting and processing, by a processor, news articles from various sources; retrieving, by the processor, user profile information associated with a user stored in a database; generating, by the processor, personalized content information by using the user profile information and processed news articles as input to a generative Artificial Intelligence (AI) model; and formatting, by the processor, the personalized content information into a newsletter tailored to the user for review; generating, by the processor, a forecast based on the personalized content information and the user profile information using the generative Al model; transmitting, by the processor, the forecast to a user device associated with the user as a push notification; receiving, by the processor, a single user action from the user device in response to the push notification; and automatically executing, by the processor, a financial order based on predefined user settings stored in the database in response to the single user action, wherein the financial order is executed without further user input after the single user action. Claim 10 recites: A personalized newsletter generation system, the system comprising: a database; and a processor in communication with the database, wherein the processor is configured to: collect and processing news articles from various sources, retrieve user profile information associated with a user stored in the database, generate personalized content information by using the user profile information and processed news articles as input to a generative Artificial Intelligence (AI) model, and format the personalized content information into a newsletter tailored to the user for review; generate a forecast based on the personalized content information and the user profile information using the generative Al model; transmit the forecast to a user device associated with the user as a push notification; receive a single user action from the user device in response to the push notification; and automatically executing a financial order based on predefined user settings stored in the database in response to the single user action, wherein the financial order is executed without further user input after the single user action. Claims 2 and 11 recites: wherein the processor is configured to process the news articles by filtering and categorizing the news articles based on predefined topics and sectors. Claims 3 and 12 recites: wherein the user profile information comprises user demographic information, financial portfolio data, user interests, user preference information, and financial education level of the user. Claims 4 and 13 recites: wherein the processor is configured to generate the personalized content information by: filtering and categorizing the news articles based on the financial portfolio data and user interests; and generating the personalized content information based on the user profile information and filtered and categorized news articles using the generative AI model. Claims 5 and 14 recites: modifying, by the processor, acronym usage in the user profile information based on the financial education level of the user and the user preference information. Claims 6 and 15 recites: wherein a tone and a reporting style of the personalized content information are adjusted according to the user preference information. Claims 7 and 16 recites: wherein the processor is configured to generate the personalized content information by: for the news articles being comprised of a plurality of categories, adjusting a tone and a reporting style for each of the plurality of categories based on the user preference information; and generating a plurality of news segments from the news articles and the user profile information using the generative AI model, each segment of the plurality of news segments is associated with a tone and a reporting style based on the user preference information using the generative AI model, wherein the personalized content information comprises the plurality of news segments and associated tones and reporting styles. Claims 8 and 17 recites: wherein tones associated with the plurality of categories are voice tones, and each of the voice tones is associated a voice of a person or a fictional character. Claims 9 and 18 recites: translating, by the processor, the news articles from a first language to a second language based on the user preference information using the generative AI model, wherein the processor is configured to generate the personalized content information from the user preference information and translated news articles using the generative AI model. Based on the limitations above, the claims describe a process that covers providing a personalized content service. Providing personalized content, forecast and execution of financial order is considered to be a commercial interaction at least between a content provider and a client, which falls within the “Certain Methods of Organizing Human Activity” grouping of abstract ideas. As such, the claim(s) recite(s) a Judicial Exception. (Step 2A prong one: Yes) This analysis then evaluates whether the claims as a whole integrates the recited Judicial Exception into a practical application of the exception. In particular, the claims recite the additional element(s) of “processor” as a mere tool to perform the steps of the Judicial Exception, which encompasses no more than Mere Instruction to Apply. For example, the limitation “collect and processing news articles from various sources” encompasses no more than generically invoking a processor to apply the Judicial Exception step of collecting and processing news articles; the limitation “retrieve user profile information associated with a user stored in the database” encompasses no more than generically invoking a processor to apply the Judicial Exception step of retrieving user profile information; the limitation “generate personalized content information by using the user profile information and processed news articles as input to a generative Artificial Intelligence (AI) model” encompasses no more than generically invoking a processor to apply the Judicial Exception step of generating personalized content information; the limitation “format the personalized content information into a newsletter tailored to the user for review” encompasses no more than generically invoking a processor to apply the Judicial Exception step of formatting the personalized content information into a newsletter tailor to the user for review; the limitation “generate a forecast based on the personalized content information and the user profile information using the generative Al model” encompasses no more than generically invoking a processor to apply the Judicial Exception step of generating the forecast based on personalized content information and user profile information; the limitation “transmit the forecast to a user device associated with the user as a push notification” encompasses no more than generically invoking a processor to apply the Judicial Exception step of sending the forecast to the user; the limitation “receive a single user action from the user device in response to the push notification” encompasses no more than generically invoking a processor to apply the Judicial Exception step of receiving the user’s single action response; the limitation “automatically executing a financial order based on predefined user settings stored in the database in response to the single user action, wherein the financial order is executed without further user input after the single user action” encompasses no more than generically invoking a processor to apply the Judicial Exception step of executing the financial order based on predefined user settings in response to the single action response; the limitation “wherein the processor is configured to process the news articles by filtering and categorizing the news articles based on predefined topics and sectors” encompasses no more than generically invoking a processor to apply the Judicial Exception step of filtering and categorizing the news articles; the limitation “wherein the processor is configured to generate the personalized content information by: filtering and categorizing the news articles based on the financial portfolio data and user interests; and generating the personalized content information based on the user profile information and filtered and categorized news articles using the generative AI model” encompasses no more than generically invoking a processor to apply the Judicial Exception step of filtering and categorizing the news articles, and generating the personalized content information; the limitation “modifying, by the processor, acronym usage in the user profile information based on the financial education level of the user and the user preference information” encompasses no more than generically invoking a processor to apply the Judicial Exception step of modifying acronym usage based financial education level of the user; the limitation “wherein the processor is configured to generate the personalized content information by: for the news articles being comprised of a plurality of categories, adjusting a tone and a reporting style for each of the plurality of categories based on the user preference information; and generating a plurality of news segments from the news articles and the user profile information using the generative AI model, each segment of the plurality of news segments is associated with a tone and a reporting style based on the user preference information using the generative AI model, wherein the personalized content information comprises the plurality of news segments and associated tones and reporting styles” encompasses no more than generically invoking a processor to apply the Judicial Exception step of adjusting the tone and reporting style for each categories based on user preference and generating a plurality of news segments with the respective tones and reporting styles; the limitation “translating, by the processor, the news articles from a first language to a second language based on the user preference information using the generative AI model, wherein the processor is configured to generate the personalized content information from the user preference information and translated news articles using the generative AI model” encompasses no more than generically invoking a processor to apply the Judicial Exception step of translating the news articles from a first language to a second language. Other than being generally linked to the steps of the Judicial Exception, the additional elements in the above step(s) is/are recited at a high-level of generality, without technological detail of how the particular steps are performed technologically. The additional element(s) of “database” are generically recited to store data and/or instructions of the Judicial Exception. The additional element(s) of “as a push notification” are generically recited to perform transmitting steps described only by a result-oriented solution with insufficient detail for how the step was accomplished. The additional element(s) of “Generative AI” are generically recited to perform steps of generating personalized content information described only by a result-oriented solution with insufficient detail for how the Generative AI accomplish it. The examiner found that to be mere instructions to implement the Judicial Exception idea on a computer by “using the Generative AI”. Indeed, the instant claims (1) attempted to cover a solution to an identified problem with no restriction on how the result is accomplished and no description of the mechanism for accomplishing the result; (2) used of a computer or other machinery in its ordinary capacity for economic or other tasks or simply added a general purpose computer or computer components after the fact to the Judicial Exception and (3) generally applied the Judicial Exception to a generic computing environment without limitation indicative of practical application (See MPEP 2106.04(d)I). Thus, the claims are no more than Mere Instruction to Apply the Judicial Exception (See MPEP 2106.05(f)) or adding insignificant extra-solution activity to the judicial exception (See MPEP 2106.05(g)), which do not integrate the cited Judicial Exception into practical application (Step 2A prong two: No) The claims are directed to a Judicial Exception. The claim does not include additional elements that are sufficient to amount to significantly more than the judicial exception. As discussed above with respect to integration of the abstract idea into a practical application, the additional element of using a processor to provide personalized content, forecast and financial order execution amounts to no more than mere instructions to apply the exception using generic computer components. The recited ordered combination of additional elements includes invoking generic processor and AI to apply the Judicial Exception. Mere instructions to apply an exception using a generic computer component cannot provide an inventive concept. Dependent claim 3, 6, 8, 12, 15 and 17 merely limit the abstract idea but do not recite any additional element beyond the cited abstract idea, thus, do not amount to significantly more. No additional element currently recited in the claims amount the claims to be significantly more than the cited abstract idea. (Step 2B: No) Therefore, claims 1-18 are rejected under 35 U.S.C. 101 as being directed to non-statutory subject matter. Response to Arguments Applicant's arguments filed on 01/26/2026 have been fully considered but they are not persuasive. Regarding the applicant’s argument that the features rejected in 35 USC 112(a) are adequately supported by the Specification, the examiner respectfully disagrees. The applicant contended that “one of ordinary skill in the Al art would understand how to implement the claimed generative Al model using well-known model architectures such as transformers, GANs, or VAEs without requiring disclosure of specific training algorithms or mathematical formulas”. However, it should be noted that the claims specified that generically recited generative AI model to perform specific functions (generating personalized content information and generating a forecast) in which the applicant claimed to have invented and have possession of at the time of filing. Invoking a blackbox-like AI model perform specific function without the technological details of the generically recited AI model does not objectively demonstrate the possession of the invention. Assertion of one of ordinary skill in the art possessing general knowledge on how to implement the claimed generative AI model does not objectively demonstrate the possession of such generative AI. As such, the argument is not persuasive. Regarding the applicant’s argument that the claims integrate the Judicial Exception into practical application, the examiner respectfully disagrees. The applicant emphasized that the amended claims “recite automatic execution of financial orders – a real-world effect that goes beyond mere content generation”. However, it should be noted that executing of financial orders is nonetheless ineligible subject matter and adding ineligible financial order execution to ineligible content generation does not result in eligibility. The ineligibility of financial order execution fundamentally distinguishes the amended claims from the eligibility rationale in Example 47 claim 3, in which the automatic dropping of malicious network packets and block future traffic result in improvements of network security. Automatic execution of financial order does not improve another technology. As such, the argument is not persuasive. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to CHO KWONG whose telephone number is (571)270-7955. The examiner can normally be reached 9am - 5pm EST M-F. 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, MICHAEL W ANDERSON can be reached at 571-270-0508. 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. /CHO YIU KWONG/Primary Examiner, Art Unit 3693
Read full office action

Prosecution Timeline

May 02, 2024
Application Filed
Aug 12, 2025
Non-Final Rejection mailed — §101, §112
Jan 26, 2026
Response Filed
Apr 22, 2026
Final Rejection mailed — §101, §112 (current)

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Prosecution Projections

3-4
Expected OA Rounds
32%
Grant Probability
38%
With Interview (+6.1%)
4y 1m (~2y 0m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 325 resolved cases by this examiner. Grant probability derived from career allowance rate.

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