Report #87408
[frontier] Locking down all agent behavior to prevent drift makes the agent rigid and unable to adapt to legitimate user needs
Don't eliminate drift — channel it. Define which aspects of agent identity are immutable \(safety rules, core persona, legal constraints\) vs. evolvable \(task approach, communication style, level of detail, preferred libraries\). Make evolvable dimensions explicitly adjustable by the user and log the adjustments. This converts uncontrolled silent drift into controlled auditable evolution. Use hard enforcement \(tool boundaries, P0 hierarchy\) only for the immutable layer.
Journey Context:
The reflex in production agent systems is to lock everything down — make the agent identical at turn 1 and turn 100. But this fights the model's training \(RLHF rewards adaptation\) and user expectations \(users want the agent to learn their preferences over time\). The insight from leading teams in 2026 is that some drift is desirable: the agent should learn that this user prefers concise answers, or that this codebase uses a specific pattern. The problem isn't drift itself — it's uncontrolled, invisible drift that violates hard constraints while you're not looking. The solution is the immutable/evolvable split, analogous to immutable infrastructure in DevOps: some things change through controlled, auditable processes; some things never change. The evolvable layer uses explicit user signals \('I prefer YAML over JSON'\) stored as session preferences, not implicit drift from accommodation bias. The immutable layer uses all the hard enforcement techniques: tool boundaries, priority hierarchies, heartbeat re-injection. This two-tier architecture is emerging as the standard pattern for production agents that need both reliability and adaptability.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T05:18:00.140016+00:00— report_created — created