Prosecution Insights
Last updated: October 25, 2026

2hr Learning Inc.

Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering

5 pending office actions • 3 art units • 4 examiners • 0 of 5 (0%) have an AI response strategy ready

Analysis

2hr Learning Inc. has 5 pending office actions in Medical Devices & Mechanical Engineering. The matters involve 4 distinct examiners and 3 distinct art units, indicating modest examiner repetition and placement across a small set of technical units.

GEBREMICHAEL, BRUK A is the busiest examiner, with 2 pending matters. Those applications provide the clearest opportunity for examiner-specific coordination. The remaining matters should be handled according to their individual prosecution histories, with attention to consistency in mechanical claim terminology where the technologies overlap.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Portfolio Summary

5
Total Pending OAs
5
Non-Final OAs
0
Final Rejections
0
Advisory / Quayle

Case Difficulty Mix

Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.

5
Hard (100%)
0
Medium (0%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only2 (40%)
§101 + other3 (60%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
1
Information Tech
20% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
4
Mechanical / Eng
80% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.

50 h
Manual time on pending OAs
10 h
Time saved (low, 20%)
18 h
Time saved (mid, 35%)
0.4 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
GEBREMICHAEL, BRUK A 2 22.0% +23.3%
NGUYEN, CAM LINH T 1 83.9% +13.4%
ALSOMAIRY, SELWA ABDO 1 44.0% +36.9%
DURAN, ARTHUR D 1 16.2% +24.3%

Hard Cases (5)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.

App #TitleExaminerDue in
19367651 DETERMINING SEMANTIC AND GRAMMATICAL CORRECTNESS OF USER-EXPANDED SENTENCE USING INTEGRATED PROGRAMMATIC AND SPECIALIZED GUIDED AND CONSTRAINED ARTIFICIAL INTELLIGENCE NGUYEN, CAM LINH T —
19218319 DYNAMICALLY ADJUSTING CONTENT DELIVERY DURING AN ONLINE LEARNING SESSION FOR OPTIMIZED LEARNING AND USER ENGAGEMENT ALSOMAIRY, SELWA ABDO —
19218318 SYSTEM AND METHOD TO TRACK MASTERY AND REWARD GAMIFICATION POINTS TO A USER ON AN ONLINE LEARNING PLATFORM DURAN, ARTHUR D —
19177481 Real-Time Prompt Generation Using an Artificial Intelligence (AI) Tutoring System GEBREMICHAEL, BRUK A —
19177471 Automated Evaluation and Feedback of Participant Online Testing GEBREMICHAEL, BRUK A —

Interview Candidates (5)

Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 5 ordered by deadline are shown.

App #TitleExaminerDue in
19367651 DETERMINING SEMANTIC AND GRAMMATICAL CORRECTNESS OF USER-EXPANDED SENTENCE USING INTEGRATED PROGRAMMATIC AND SPECIALIZED GUIDED AND CONSTRAINED ARTIFICIAL INTELLIGENCE NGUYEN, CAM LINH T —
19218319 DYNAMICALLY ADJUSTING CONTENT DELIVERY DURING AN ONLINE LEARNING SESSION FOR OPTIMIZED LEARNING AND USER ENGAGEMENT ALSOMAIRY, SELWA ABDO —
19218318 SYSTEM AND METHOD TO TRACK MASTERY AND REWARD GAMIFICATION POINTS TO A USER ON AN ONLINE LEARNING PLATFORM DURAN, ARTHUR D —
19177481 Real-Time Prompt Generation Using an Artificial Intelligence (AI) Tutoring System GEBREMICHAEL, BRUK A —
19177471 Automated Evaluation and Feedback of Participant Online Testing GEBREMICHAEL, BRUK A —

Top Art Units

Art UnitApps
3715 3
2161 1
3622 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19367651 DETERMINING SEMANTIC AND GRAMMATICAL CORRECTNESS OF USER-EXPANDED SENTENCE USING INTEGRATED PROGRAMMATIC AND SPECIALIZED GUIDED AND CONSTRAINED ARTIFICIAL INTELLIGENCE NGUYEN, CAM LINH T 2161 §101 Non-Final OA — Pending Oct 23, 2025
19218319 DYNAMICALLY ADJUSTING CONTENT DELIVERY DURING AN ONLINE LEARNING SESSION FOR OPTIMIZED LEARNING AND USER ENGAGEMENT ALSOMAIRY, SELWA ABDO 3715 §101§102§103§112 Non-Final OA — Pending May 25, 2025
19218318 SYSTEM AND METHOD TO TRACK MASTERY AND REWARD GAMIFICATION POINTS TO A USER ON AN ONLINE LEARNING PLATFORM DURAN, ARTHUR D 3622 §101§103 Non-Final OA — Pending May 25, 2025
19177481 Real-Time Prompt Generation Using an Artificial Intelligence (AI) Tutoring System GEBREMICHAEL, BRUK A 3715 §101§112 Non-Final OA — Pending Apr 11, 2025
19177471 Automated Evaluation and Feedback of Participant Online Testing GEBREMICHAEL, BRUK A 3715 §101 Non-Final OA — Pending Apr 11, 2025

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Frequently Asked Questions

How many pending USPTO office actions does 2hr Learning Inc. have?

2hr Learning Inc. has 5 pending office actions as of October 2026, spread across 3 art units and 4 examiners.

Which USPTO examiner handles the most 2hr Learning Inc. applications?

Bruk A Gebremichael has the most, with 2 of 2hr Learning Inc.'s pending office actions.

What technology area are 2hr Learning Inc.'s patent applications in?

Mostly Medical Devices & Mechanical Engineering (USPTO Tech Center 3700), based on where its pending office actions are examined.

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