Advisory
Notes for founders, CTOs and investors who need to judge an AI product rather than build every part of it: how I run a technical health check, what I look for in due diligence, and the decisions that come up in most engagements.
Written by Arun Baby: speech scientist (ex-Samsung Research, INTERSPEECH and ICASSP papers), now building and securing voice and AI agents as a founder and advisor.
Start here
- Fractional CTO playbook: how I assess an AI startup’s technical health in week one: the six checks I run before changing anything.
- How I evaluate AI startups for investors: 8 technical signals: a first-pass screen that decides whether a full review is worth it.
Related decisions elsewhere on the site
- The build vs buy decision for AI in 2026
- AI security assessments: how to evaluate an LLM system you did not build
- When self-hosted TTS beats the API
- AI agents that actually make money: the commercial viability framework
If you want this kind of review for your company or a company you are about to invest in, see Work With Me.
Recently added
- How I evaluate AI startups for investors: 8 technical signals
- Fractional CTO playbook: how I assess an AI startup’s technical health in week one
Some posts are drafted with AI assistance and edited by Arun. If you spot an error, email arun@arunbaby.com and it gets fixed.