GPT-5.5 Successor Needs an “Execution Reliability” Release for Power Users
OpenAI model activity is surfacing — worth tracking for capability changes, ecosystem impact, and availability.
I’m a power user. I use ChatGPT as a daily operating system.
Every day, it helps me optimize structured Tonal Gym fitness, nutrition, sleep, and performance tracking using hundreds of persistent rules, deterministic calculations, locked scoring systems, and strict output formats.
GPT-5.5 has become noticeably less reliable for my daily workflow optimizations.
The recurring problems aren’t knowledge problems—they’re execution problems. - Uses stale instructions instead of the newest ones. - Drifts away from established formats during long chats. - Inconsistently applies memory and continuity. - Changes scoring rules that were previously locked. - Performs deterministic calculations inconsistently. - Requires repeated corrections for tasks that used to work on the first attempt before the 5.5 model update in May.
For users like me, reliability matters more than creativity. I’d love to see OpenAI ship a release focused almost entirely on execution quality instead of new features.
Think of it as an “Execution Reliability Update.”
Examples: Deterministic Mode Strong “latest instruction wins” behavior Locked templates and scoring systems Reduced long-context drift Better continuity and memory execution Domain modes (Fitness, Nutrition, Health, etc.) that prioritize precision over conversational flexibility
I want GPT-5.6 to feel like a dependable daily tool for deterministic calculations like optimizing protein grams, boluses, kcal burned, weight loss, hypertrophy, sleep, and body recomposition.