TOBIAS - better web pages through intelligent routing and judgement

Alexander Pinchuk

We implemented routing and judging system designed to generate and evaluate improved versions of web page content for SEO, advertising and generative search goals. Our system selects the most promising content version using real-world performance indicators, providing a reproducible method for LLM benchmarking and semantic page optimization. This work contributes to Track 1 (Judge Model Development) of Apart x Martian Mechanistic Router Interpretability Hackathon, while integrating Judge Model insights for end-to-end performance routing.

Reviewer's Comments

Reviewer's Comments

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Curt Tigges

- Seems useful if you want a good website builder for a business

- Actual safety impact seems negligible

- Seems fine technically

Narmeen

Constructive feedback:

Strength:

Nice application:web pages optimisation via content extraction

Love the data processing pipeline

Uses a post hoc routing approach

Nice judges with an application focus to website/ads.

Weakness:

Comparison against a “raw prompting” baseline like feeding website content and an instruction to the models would be good to justify this routing pipeline.

Expert Orchestration: 4

MI: 1

Tech Imp and rep: 4

Anosha Rahim

Strong domain-specific project. Curious how it would generalize to other multi-objective generation tasks. I'd add at least one MI probe to the implementation to see how it guides generation.

Cite this work

@misc {

title={

@misc {

},

author={

Alexander Pinchuk

},

date={

6/2/25

},

organization={Apart Research},

note={Research submission to the research sprint hosted by Apart.},

howpublished={https://apartresearch.com}

}

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This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.