Writing
Self-hosted pieces and stubs for externally published work, so everything is discoverable from one place.
- What an AI-driven communications platform actually returns and what it takes to build one — the published return envelope (Pinterest, Twitter, Kuaishou), the five-layer architecture, per-mechanism economics with stage gates, and five platform scenarios for where the case clears the bar.
- Generation was never the bottleneck — selection is. The pipeline that turns a thousand raw variants into copy that performs: generate under category control, gate with cheap deterministic checks, then an LLM judge on a rubric, then a reward model that selects, then rotation and A/B — and the one loop you must never close.
- On a transactional marketplace the messenger is the conversion engine, not a chat feature — every buyer–seller conversation is a near-deal. A practitioner's account of the AI/ML behind it: intent and inbox ranking, suggested replies, price and negotiation, the agreement signal that stands in for off-platform deals, generative assistants, and the trust layer underneath.
- What AI/ML is actually capable of in CRM in 2026 24 Jun 2026A practitioner's read on the achievable band for AI/ML-driven CRM — the four platform shapes, the lifecycle of a single message, and where predictive and generative models each earn their keep, anchored to the public results that bound every number.
- How modern buyer-engagement platforms use AI to decide — in real time — who gets a message, what it says, and when and where it lands: the trigger → modeling → content → orchestration → placement → feedback loop, the four personalization layers, and the results benchmarks. Published on HackerNoon.
- A tactical playbook for taking a consumer health & fitness subscription app from 0 to $1k to $10k monthly tracked revenue — discovery, MVP definition, build stack, store launch, and exit benchmarks, with the unit-economics maths. Published on HackerNoon.
- A practitioner's guide to the hard and soft skills a product manager needs — the three PM archetypes (technical, general, growth), product-building, monetisation, and the leadership skills that matter most at senior level. Published on Sostav.ru (in Russian).