By skyforbes Each had great moments — but the context drift and fragmentation between them kept killing consistency.
So we built something different — a Director GPT,
that acts as a central “command layer” supervising all role prompts.
It doesn’t just generate output — it coordinates.
It runs 3 key systems:
1️⃣ Mode switching — instantly toggles between roles (marketing, research, communication) without context loss.
2️⃣ Instruction anchoring — maintains one persistent core across all prompts (like a shared kernel).
3️⃣ Drift control — re-aligns tone, intent, and reasoning every 3–5 turns automatically.
Result:
Same model. Same token limits.
But finally stable personality, reasoning, and role awareness across long sessions.
We’re still testing how far this can go — especially in multi-agent setups and memory-transfer between threads.
Has anyone here built something similar — like a “meta-prompt” that manages sub-roles?
Curious how you handle synchronization between instructions.
(If there’s interest, I can share a redacted version of our Director instruction block for reference 👀)