In my opinion, your usage of AI appears extremely sophomoric, and your results seem to follow your own skill level.
There is this persistent belief that AI is a great leveler and you just type "pls get me a job kthx" and it should perform literal miracles.
Try some context engineering. Try customizing your harness. Try having the harness improve itself. These are AI 101 lessons you can find in many tutorials. Anthropic has a great set of tutorials on how to use claude that go into a lot more depth for beginners.
This reminds me of how when Juniors use AI, they produce offensive slop, but when Principals use AI, they produce some truly beautiful systems.
AI is not a great leveler, it's a skill based tool. If your results suck, before you blame the tool, consider other possibilities.
But of course, bias confirmation that AI is just a big scam sounds a lot easier than admitting a skill deficit and spending real time and effort learning.
Its the tools. Sell those RSUs while they last.
Most of these are 2026....
Frontier LLMs Still Struggle with Simple Reasoning Tasks - https://arxiv.org/abs/2507.07313
General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks - https://arxiv.org/abs/2604.11778
LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening - https://arxiv.org/abs/2605.19597
LogicGraph: Benchmarking Multi-Path Logical Reasoning via Neuro-Symbolic Generation and Verification - https://arxiv.org/abs/2602.21044
Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models - https://arxiv.org/abs/2607.08317
Vision-Language Models Lag Human Performance on Physical Dynamics and Intent Reasoning - https://arxiv.org/abs/2601.01547
Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? - https://arxiv.org/abs/2605.20448
The Reversal Curse: LLMs Trained on “A is B” Fail to Learn “B is A” - https://arxiv.org/abs/2309.12288
Large Language Model Reasoning Failures - https://arxiv.org/abs/2602.06176
> Try some context engineering. Try customizing your harness. Try having the harness improve itself. These are AI 101 lessons
If AI is really that complicated, it sounds like it would be easier to write an ordinary computer program to aggregate job boards.