Browse all articles from roiscale
She taught high-school English for nineteen years and resigned when her district mandated an AI essay-grading platform, because what she was arguing — and what her students' petition named — was that grading an essay and reading a student are not the same act.
I got tired of reading vendor benchmarks. I ran 100 real code-generation tasks from my own work — 50 Python, 50 TypeScript — against all three frontier models. Here is the honest scoreboard and where…
She wrote the call scripts that became the training data for her employer's voice AI, and six months later her team was cut — a pattern that reveals what the 'AI augmentation' narrative consistently leaves out of customer-service operations.
Grid management AI was classified as an innovation experiment in most utility capital plans through 2024. The reclassification is underway in 2026: leading operators are moving AI-based grid optimization into the regulated asset base, regulators under updated FERC guidance are signaling willingness to allow returns on those investments, and the avoided capital expenditure from AI-informed planning is large enough — $42 million at the regional utility scale
Why autonomous AI development still breaks down without human engineering judgment, architectural ownership, and quality oversight -a practitioner's honest take.
A software platform team was shipping LLM features under a test suite that asserted on exact output strings; after three post-deployment incidents within two quarters — a changed model version producing different phrasing that broke downstream parsers, a regression in a summarization feature caught only by a customer complaint, and a cost spike caused by an undetected prompt that was doubling token usage
Factory QA is still mostly people staring at screens. A buddy gave me 800 labeled images from a supplier-audit use case and a weekend. Here is what the fine-tune actually caught.
Self-consistency (Wang et al., 2022) is cited in 8,000 papers and used in almost zero production systems I know. I implemented it from scratch on two real tasks. On one it was a 9-point accuracy lift. On the other it was expensive theater. Here is why.
Mid-market retailers that built AI dynamic pricing engines in-house between 2022 and 2024 are discovering that the maintenance cost of a bespoke ML system — averaging $4.2 million annually at the 500-location scale — was never in the original business case. The build-versus-buy calculus has shifted decisively in the past 18 months as SaaS alternatives have converged on comparable gross margin lift at roughly one-quarter of the total cost of ownership.
When a nurse manager pulled an AI triage tool from her emergency department after ninety days, she was asking a question the healthcare system still hasn't fully answered: who is accountable when the algorithm is wrong and the patient is already triaged?
A mid-market credit analyst spends 4-6 hours on a memo. I wired up Claude + a sanctions-list API + a PDF template. It runs in 38 seconds. Here is what worked and what I broke.
I used Cursor for 10 days, Windsurf for 10 days, and Aider for 10 days — same actual work — and logged every prompt and result. Here is the honest verdict and where each one won.
