About Tune AI
Ownership & Disclosure
Tune AI is published by Traigent, a company that builds tools for the agent development lifecycle. We are transparent about this: Traigent owns and funds this publication.
We write honestly about agent engineering as a discipline, including about approaches and tools that compete with Traigent's own products. Our editorial mission is to be genuinely useful to practitioners, not to be a marketing channel. We distinguish clearly between editorial content and any sponsored or Traigent-specific material.
Engineering the next generation of AI systems
AI agents are changing how software is designed, built, tested and operated, and the engineering discipline behind them is still emerging. Trustworthy agents need explicit requirements, representative evaluation datasets, reliable evaluators, systematic experimentation, and evidence-based release decisions. We call this Agent Engineering. It draws on software engineering and machine learning but does not replace either; the combination of nondeterministic behaviour, tools, changing data and uncertain evaluation is what makes it distinct.
Who it's for
Software engineers, data scientists, data engineers, product managers, QA engineers, architects, engineering leaders — and researchers. Browse by role.
How TuneAI relates to Traigent
TuneAI is published by Traigent, which builds tools for the agent development lifecycle — evaluating, experimenting with, and optimizing agents. Our articles teach methods that work whatever tools you use. When an article shows a method in practice, it may use Traigent and will say so; no article requires it.
Our editorial standards
Claims carry evidence or are labelled as opinion or open question. Examples state their assumptions and limits. Corrections are noted at the end of the article with a date. Contributions from practitioners and researchers are welcome — get in touch.
Team
Amir Ben-Efraim — Editor in Chief
Contact
For editorial inquiries, corrections, or pitches, use the contact page.