Builder of HoneyChat. Backend + infrastructure for AI companion products — persistent-memory chat, multi-tier LLM routing, GPU image/video pipelines. Background in Web3 tooling (LayerZero automation, Snapshot governance bots). Writes about the engineering behind production AI chatbots.
Testing Methodology
Each app is tested for at least 2 weeks, on multiple devices, with both free and paid tiers. We verify claimed features, measure response times, and evaluate memory retention over time. Competitors are reviewed fairly with links to their official sites. Statistics come from cited public sources. All HoneyChat limitations (free tier caps, no web version, newer platform) are always disclosed.
Recent Articles
LLM Prompt Caching Measured — Same Prompt, 0% to 91% Hit Rates
May 28, 2026
Astro + Next.js + FastAPI in One Repo: The Deploy Contracts We Wish We'd Written Day One
May 28, 2026
ChromaDB 0.5 Silently Leaks Memory Until You Set One Env Var
May 28, 2026
Empty String Is Not Missing: A Python/JS Bug Pattern That Bit Us in Three Files at Once
May 28, 2026
Inworld TTS Paralinguistic Tags Don't Work — Here's What Does
May 28, 2026