cutler.sg valid
Fractional Futurist - Personal Technical Blog
The personal website of Michael Cutler - Technical content spanning 2005-2026 with 155 articles.
For agents: Personal blog of Michael Cutler, AI engineer and fractional CTO, with 155 technical articles from 2005-2026 and a resume and contact page.
fractional ctoai engineeringweb3michael cutlerenterprise ai
- Authority
- 50 reach 0 · trust 10 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://cutler.sg/llms.txt
- llms-full.txt
- https://cutler.sg/llms-full.txt
- Sections
- 10
- Links
- 114
- Size
- 15511 bytes
- Registered
- 2018-09-12
- Country
- Singapore Country-code domain
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- Personal sites and blogs
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Read documentation Search content Support / contact About these labels
- Audience
- mixed · agents can: read docs, search content, contact support · en
- First seen
- 2026-10-27T13:25:07.941Z
- Last checked
- 2026-10-27T13:25:09.469Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T13:25:08.050Z. Cached copy · Source on cutler.sg
# Fractional Futurist - Personal Technical Blog
> The personal website of Michael Cutler - Technical content spanning 2005-2026 with 155 articles.
## Pages
- [Resume](/resume): AI engineer and fractional CTO, 25+ years early to every cycle — ML at Sky before 'big data' was a job title, NFTs before the acronym, agentic AI in production inside a global bank. Built for enterprise AI deployment.
- [About](/about): Fractional CTO, AI & Web3 Expert | Venture Building | Startup Mentor & Advisor
- [Cookie Policy](/cookie-policy):
- [Data Requests & Contact](/data-requests):
- [Privacy Policy](/privacy-policy):
- [Terms of Use](/terms-of-use):
## Blog Posts (155 total)
### Recent Posts
- [Back to PCB Design With AI Doing the Legwork: An NFC Business Card in KiCad](/blog/2026-10-ai-assisted-pcb-design-kicad-nfc-business-card): I let coding agents research, source, generate and iterate three native KiCad revisions of an NFC business card over three days in October. The files are real and the checks are clean; the confidence came from datasheets, exact part numbers and independent re-examination, not from the renders.
- [The Gym Bot That Went to the App Store](/blog/2026-10-gym-booking-skill-to-app-store): I wrote a Claude Code skill in April because I book the same gym classes every week. By October it was an app on both stores, and an agent runs it. Here is why.
- [HybridLink on Two Pascal GPUs: Tokens per Second Was the Wrong Metric](/blog/2026-10-hybridlink-two-pascal-gpus-tokens-per-second): I ran Together's HybridAgent checkpoints with latent reasoning on and off across 72 requests in 36 on/off pairs on two 2016 GPUs. The visible token rate fell; correct answers sometimes arrived twice as fast.
- [Your Fitness Agent Needs Reliable Data Before Better Advice](/blog/2026-10-fitness-agent-needs-reliable-data): A technical follow-up to the Reverse Tamagotchi: physiological days, missing scores and stale rows can change what a fitness assistant thinks it knows.
- [How to Measure the Human Cost of Agent Work](/blog/2026-10-measure-agent-review-time): A measurement protocol for human review, rework and agent spend that keeps rejected attempts in the calculation.
- [What Belongs in Agent Memory](/blog/2026-10-what-belongs-agent-memory): A durable handoff separates observations, hypotheses and unfinished work, then records what would make each observation stale.
- [What Happened After the $8 Website Rebuild](/blog/2026-10-after-eight-dollar-website-rebuild): The $7.99 rebuild bought a first version; the repository now shows the less photogenic work of preserving an archive and keeping its promises.
- [26 Minutes vs 33 Seconds: What Production Data Tells Us About Agentic AI](/blog/2026-09-agentic-ai-vs-conversational-search-26-minutes): Perplexity's own data shows its agent does 48× more machine work per session than its search product — but the 87% time saving rests on ten assumed minutes of human oversight, and that is the number a buyer needs.
- [What
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