Human in the loop. AI in the driver's seat. Me with the emergency brake.
Hi, I'm Eric Yim. Everything here is a joint venture between me and an AI.
The workflow is simple: the AI spews fast, remarkably confident nonsense; I catch it red-handed, fix the citations it completely made up, and sign off before anything hits production.
To sum it up: It brings the typing speed. I bring the adult supervision.
If you spot a bug or a hallucination wearing a tuxedo, that's on me — the AI tried its best to gaslight me, and I fell for it.
From a wave spirit to a dog that can load, verify, match, submit, and recover: five mascot directions, twenty-two character boards, and the deliberate reductions that turned brand stories into memorable product behavior.
A source-pinned implementation blueprint spanning CV/JD parsing, real-time voice, session state, RAG, code judging, evidence-based scoring, security, compliance, cost, capacity, and the gates from PoC to production.
What to leave out, which historical free benefits to ask for, and what still needs a quote. A visual minimum-purchase checklist with original sources, without hypothetical totals.
The official API cannot provide follower, note, or comment data, while self-run collection is possible with risk controls. For a creator material library, a Xiaohongshu mini program offers the smoothest path: bring media, copy, and topics into the publisher in one tap, then let the creator review and publish.
A blueprint for turning authorized, field-tested mentor judgment into versioned digital mentors that can deliver continuous career services—with Skills as the execution core and data, tools, evaluation, human handoff, and governance as the shared foundation.
Business-model teardown of Nowcoder: a free coding-prep community of 10M+ students monetized through three B2B layers — resume sourcing (>50% of revenue), pay-per-use exam/interview SaaS, and employer-brand ads. 59 sourced references, 2025–2026 procurement records (incl. a ¥1.45M contract from a central-bank-affiliated fintech), an AI-agent pivot timeline, and honest notes on which metrics stopped updating after 2023–2024. ~2,800 lines, no tracking, no JS beyond Chart.js.
Investment-research teardown of Mercor's 5-round, 100× valuation jump from a $194M seed to a pending $20B post-money. 25 sourced references, 6 findings (capital pacing, revenue curve, supply-side scale, margin trajectory, market reputation, valuation re-rating), plus an honest limitations section and methodology. ~2,700 lines, no tracking, no JS beyond Chart.js.
Investment-research teardown of Jack & Jill's Creandum-led $20M seed. 27 sourced references, 7 findings (cap stack, moat, and a side of healthy skepticism), charts, and an honest limitations section. ~2,100 lines, no tracking, no JS beyond Chart.js.