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curated · 2026-09-13

2 items · updated 3m ago
2026-09-13 · Sun
16:00
9d ago
AI HOT (Curated Pool)· aihot-apiZH16:00 · 09·13
Tessl proposes an agent context ownership model: ownership follows the org unit
Tessl's Rob Hudson and Simon Maple argue the hardest part of agentic transformation isn't the agents—it's who owns the context, workflows, and artifacts that steer them. Their core rule: context ownership follows the organizational unit. Individual and team domain knowledge belongs to domain experts; the enablement team provides tooling and stewardship, not ownership. They also separate 'context engineering' (local, intimate work) from 'loop engineering' (which can be centralized). Get the ownership wrong and you either create a central bottleneck or a fragmented free-for-all.
#Tessl#Rob Hudson#Simon Maple
editor take
Tessl argues the real bottleneck in agentic transformation isn't the agents—it's who owns the context, and the answer is: follow the org unit, not the platform team.
HKR breakdown
hook knowledge resonance
open source
62
SCORE
H0·K1·R0
05:56
9d ago
AI HOT (Curated Pool)· aihot-apiZH05:56 · 09·13
Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks
This post breaks down four context engineering mechanisms that keep agents on track during long tasks: budget control to limit context length, compression to reduce redundancy, todo-state to track progress, and a memory module to retain key info. The post does not disclose implementation details or benchmark results, only the mechanism framework.
editor take
A framework post breaks down 4 mechanisms to keep agents on track in long tasks, but no implementation details or benchmarks — take it as a conceptual read.
HKR breakdown
hook knowledge resonance
open source
60
SCORE
H1·K0·R0

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