Nov 6, 2025Struggling to convince an examiner that your AI system delivers a real, computer-level improvement—beyond “better accuracy”? This lesson arms you with a four-part, examiner-ready script to frame technical improvements verbally, map them to §101/§103, and stay tethered to your claims and spec. You’ll get a concise blueprint, high-signal examples, and targeted exercises to practice cause→mechanism→metric phrasing that reduces ambiguity and supports allowance. Expect crisp guidance, claim-aligned stems, and measurable language you can deploy in your next interview.

Nov 5, 2025Struggling to keep AI examiner interviews focused—especially when training data drives §101 and §103? This lesson equips you to run a surgical, written agenda that isolates claim interpretation, ties eligibility to reproducible data-driven improvements, and tests obviousness via dataset assumptions. You’ll get crisp frameworks with timing and scripts, high-signal question stems, and documentation checklists—plus targeted exercises to validate your approach. Finish ready to shorten prosecution and memorialize commitments that support AFCP, after-final, or appeal pathways.