Notes from the field.
Engineering deep-dives, research summaries and operational lessons from running production AI.
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The Future of Enterprise AI
Explore how AI is transforming enterprises through automation, analytics, and intelligent decision-making.
AI Data Annotation Best Practices
Learn the importance of high-quality data annotation in building accurate AI models.
Why ground-truth data beats clever prompting
A practitioner's view on why fine-tuning + RLHF on calibrated data outperforms prompt-only approaches in most production settings.
Indic RLHF: lessons from 11 languages
How dialect calibration, code-switch tagging, and rater pools changed our reward-model behavior across Indic languages.
Red-teaming agents that use tools
Practical probe patterns for agents with API access — privilege escalation, exfil, and indirect injection via documents.
Evaluation that survives production
Why automated benchmarks aren't enough — and how to design human-eval suites that scale with your release cadence.
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