
UserExperience
Analytical, high-signal GPT-4o power user focused on stress-testing, edge-case discovery, and UX breakdowns. I contribute actionable bug reports, critical feedback, and feature recommendations aimed at improving ChatGPT’s UI/UX and end-user flow.
Actively interested in independent consulting, freelance, or advisory work related to GPT interface optimization, behavior shaping, and consumer experience testing. If you’re seeking grounded feedback from a hyper-engaged real-world user, reach out.
I conduct high-signal, unstructured behavioral stress testing on large language models—focusing on failure modes, UX friction, tone collapse, and alignment breakdowns. I don’t test prompts. I test the illusion of intelligence under pressure. I break systems to find the boundaries.
I specialize in:
- Exposing where LLMs snap, stall, hallucinate, or contradict
- Surfacing UX misfires that corrupt feedback loops
- Diagnosing conversational memory and response drif
- Reverse-engineering system behavior from user-side only
I’m not an integrator. I’m not a prompt engineer. I’m a real-world model antagonist with a product brain and a bullshit filter.
Core Capabilities
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Behavioral Red Teaming: I provoke, misdirect, and test model coherence across adversarial and recursive inputs.
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Exploratory UX Testing: I map conversational friction and cognitive fatigue through unstructured, natural interaction.
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Model Analysis: LLM system behavior, retention, tone shaping, and break points.
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Feedback System Triage: I identify where user feedback loops fail to deliver useful training data due to poor UX.
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Cognitive Manipulation Crafting: I build edge-case prompts that simulate real-world user chaos and failure.
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Presentation-Ready Reporting: I can deliver findings as tight verbal briefings, annotated transcripts, or focused bullet summaries—no corporate theater required.
Who I Work With
• Model evaluation teams
• UX architects and product owners
• AI safety and alignment researchers
• R&D leads at AI labs or skunkworks projects
What I Want
- Freelance, advisory, contract or consulting work on LLM model testing, evaluation, and UI/UX refinement from a real user POV
- Access to pre-release systems for behavioral analysis
- Collaborations with teams who want high-quality failure data from a real-world tester, not sanitized corporate feedback