Prosecution Insights
Last updated: April 19, 2026
Application No. 18/639,210

GRAPHICAL USER INTERFACE AND METHODS FOR ORGANIZING INFORMATION FOR AND FROM AN AI ENGINE IN A VIRTUAL CANVAS

Non-Final OA §101§102§103
Filed
Apr 18, 2024
Examiner
BLOOMQUIST, KEITH D
Art Unit
2171
Tech Center
2100 — Computer Architecture & Software
Assignee
T1V Inc.
OA Round
1 (Non-Final)
63%
Grant Probability
Moderate
1-2
OA Rounds
3y 0m
To Grant
83%
With Interview

Examiner Intelligence

Grants 63% of resolved cases
63%
Career Allow Rate
440 granted / 702 resolved
+7.7% vs TC avg
Strong +20% interview lift
Without
With
+20.0%
Interview Lift
resolved cases with interview
Typical timeline
3y 0m
Avg Prosecution
49 currently pending
Career history
751
Total Applications
across all art units

Statute-Specific Performance

§101
7.9%
-32.1% vs TC avg
§103
59.7%
+19.7% vs TC avg
§102
21.1%
-18.9% vs TC avg
§112
7.7%
-32.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 702 resolved cases

Office Action

§101 §102 §103
DETAILED ACTION This action is responsive to the application filed 4/18/2024. Claims 1-12 are pending. Claim Objections Claim 11 is objected to because of the following informalities: the final clause has an instance of repeating the word “the” unintentionally. Claim 12 is objected to because it uses the word “reach” where Applicant likely intended to use “each.” Appropriate correction is required. 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 11 and 12 are rejected under 35 U.S.C. 101 because the claimed invention is directed to non-statutory subject matter. The claims do not fall within at least one of the four categories of patent eligible subject matter because the claims are directed to a graphical user interface. A graphical user interface is software per se, which is not considered a process, machine, manufacture, or composition of matter within the scope of the statute. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claims 1, 2, 6, 7, 11 and 12 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Mikutel, et al., U.S. PGPUB No. 2024/0311576 (“Mikutel”). With regard to Claim 1, Mikutel teaches a method of collaborating between a first computer associated with a first display at a first location and a second computer associated with a second display at a second location, the method comprising: establishing a connection between the first and second computers ([0014] describes that client devices are connected to one another via a network); starting a virtual canvas on the first computer ([0028] describes that a visual collaboration creator opens a template, which will be used in an upcoming meeting); sending the virtual canvas from the first computer to the second computer ([0025] describes that a collaboration template is sent to client devices to enable users to collaborate with one another); in response to an artificial intelligence icon being selected on the first computer or the second computer, open a prompt tab to receive a prompt input, and in response to the prompt input and activation of a button, generate a response from an artificial intelligence engine in the prompt tab or in a new window on the canvas ([0029]-[0030] describe that a user can make an entry into an AI text box, which opens an AI response window. Users can then edit prompts within the window and view and interact with the responses generated by AI). Claim 6 recites a method which is substantially the same as the method of Claim 1, and is similarly rejected. With regard to Claim 2, Mikutel teaches that the prompt input is a text input. [0029]-[0030] describe that prompts are input and edited as text; this is also shown at Fig. 7. Claim 7 recites a method which is substantially the same as the method of Claim 2, and is similarly rejected. With regard to Claim 11, Mikutel teaches a graphical user interface for using an artificial intelligence engine in a virtual canvas running on a computer associated with a display, the graphical user interface being displayed in response to an artificial intelligence icon being selected in an icon window of the virtual canvas, the graphical user interface comprising: a prompt tab for inputting a single prompt to retrieve a single text result from an artificial intelligence engine (Fig. 7 shows the prompt input along with a single response generated for the prompt by AI); a notes tab for inputting a single prompt to retrieve more than one text result from the artificial intelligence engine (Figs 10 and 11 show a user selecting an element for suggesting similar ideas, leading to a plurality of responses each showing an additional idea generated by the AI); and a media tab for inputting a single prompt to retrieve one or more images from the artificial intelligence engine ([0062] describes that a user can enter a prompt and receive an image response from the AI). With regard to Claim 12, Mikutel teaches that in response to the prompt being input to the prompt tab, display the single text result in the prompt tab, in response to the prompt being input to the notes tab, display reach text result in a separate window on the canvas, and in response to the prompt being input to the media tab, display each image result in a separate window on the canvas. Mikutel at Figs. 7 and 11 each show that a user can select an option to insert the responses as notes, where the notes are individual tiles, each of which includes one response therein. [0030] describes that selecting this option inserts the response generated by the AI into the canvas as notes. Therefore, the inserting of one or a plurality text responses, or one or more image responses as described at [0062] is in response to the input to the prompt tab, as the response includes the ability to insert the results in the canvas and is selected as a user response to the AI results. Claim Rejections - 35 USC § 103 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. This application currently names joint inventors. In considering patentability of the claims the examiner presumes that the subject matter of the various claims was commonly owned as of the effective filing date of the claimed invention(s) absent any evidence to the contrary. Applicant is advised of the obligation under 37 CFR 1.56 to point out the inventor and effective filing dates of each claim that was not commonly owned as of the effective filing date of the later invention in order for the examiner to consider the applicability of 35 U.S.C. 102(b)(2)(C) for any potential 35 U.S.C. 102(a)(2) prior art against the later invention. Claims 3 and 8 are rejected under 35 U.S.C. 103 as being unpatentable over Mikutel, in view of Cho, et al., U.S. PGPUB No. 2021/0263963 (“Cho”). With regard to Claim 3, Mikutel, in view of Cho teaches that the prompt input is a sketch. Mikutel teaches at [0029] that the prompt input to the AI in the canvas can be is forms other than text, and [0062] describes that the AI can return images as a response to a prompt. Cho teaches at [0088]-[0092] that an interface region for a user to sketch an input can be provided, where the interface also includes a region for output of machine-generated images generated using the sketch, and a user may also execute a search command using the input sketch. [0052] describes that the machine-generated image is generated using artificial intelligence. It would have been obvious to one of ordinary skill in the art at the time this application was filed to modify Mikutel to include sketch inputs for use with the AI canvas as described in Cho. One of skill in the art would have sought the modification, to improve user experience by enabling additional types of input and output to an AI engine, thereby enabling the searching and use of additional types of content in collaboration. Claim 8 recites a method which is substantially the same as the method of Claim 3, and is similarly rejected. Claims 4, 5, 9 and 10 are rejected under 35 U.S.C. 103 as being unpatentable over Mikutel, in view of Bull, et al., U.S. Patent No. 11,157,160 (“Bull”). With regard to Claim 4, Mikutel, in view of Bull teaches that each window on the canvas generated from the artificial intelligence engine includes a ranking metric for selection by a user. Mikutel teaches at [0031] and Fig. 8 that the canvas can display a plurality of AI-generated tiles in the canvas. Bull teaches at Col. 20, lines 21-33 that an AI engine can render a context menu, where Figs. 15A and 15B and Col. 21, lines 36-56 describe the context menu as made up of tiles, where tiles are selectable and user behavior recorded. Col. 21, lines 28-35 describe that each tile is placed and positioned based on a relevance and other information. It would have been obvious to one of ordinary skill in the art at the time this application was filed to combine Mikutel with Bull. One of skill in the art would have sought the combination, to improve system functioning by enabling the display of tiles of AI-generated content to be re-arranged, and for more relevant or otherwise highly ranked elements be more prominently displayed, thereby conveying additional, useful information to users. Claim 9 recites a method which is substantially the same as the method of Claim 4, and is similarly rejected. With regard to Claim 5, Bull teaches that in response to a user ranking one or more windows on the canvas generated from the artificial intelligence engine, feeding back the ranked windows to the artificial intelligence engine. Col. 21, lines 46-56 describes that user behavior in reordering or removing tiles can be recorded, and used as feedback for the AI algorithm to train the algorithm for tile placement. It would have been obvious to one of ordinary skill in the art at the time this application was filed to combine Mikutel with Bull. One of skill in the art would have sought the combination, to improve system functioning by enabling the display of tiles of AI-generated content to be re-arranged, and for more relevant or otherwise highly ranked elements be more prominently displayed, thereby conveying additional, useful information to users. Claim 10 recites a method which is substantially the same as the method of Claim 5, and is similarly rejected. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to KEITH D BLOOMQUIST whose telephone number is (571)270-7718. The examiner can normally be reached M-F, 8:30-5 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, Kieu Vu can be reached at 571-272-4057. 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. /KEITH D BLOOMQUIST/Primary Examiner, Art Unit 2171 1/15/2026
Read full office action

Prosecution Timeline

Apr 18, 2024
Application Filed
Jan 15, 2026
Non-Final Rejection — §101, §102, §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12602941
SYSTEM AND METHOD FOR IDENTIFYING ATYPICAL EVENTS AND GENERATING AN ALERT USING DEEP LEARNING MODEL
2y 5m to grant Granted Apr 14, 2026
Patent 12602082
Electronic Devices with Translating Flexible Displays and Corresponding Methods for Providing Haptic Feedback
2y 5m to grant Granted Apr 14, 2026
Patent 12590442
CONTROL SYSTEM AND CONTROL METHOD FOR WORK MACHINE
2y 5m to grant Granted Mar 31, 2026
Patent 12578205
METHOD AND SYSTEM FOR AUTOMATICALLY GENERATING A MAP OF AN INDOOR SPACE
2y 5m to grant Granted Mar 17, 2026
Patent 12570413
UNIFIED DATA LIBRARY, FLYING OBJECT COPING SYSTEM, FLYING PATH PREDICTION METHOD, AND COMMUNICATION ROUTE SEARCH METHOD FOR ACCURATELY PREDICTING A PATH OF A FLYING OBJECT
2y 5m to grant Granted Mar 10, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
63%
Grant Probability
83%
With Interview (+20.0%)
3y 0m
Median Time to Grant
Low
PTA Risk
Based on 702 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month