HardMagic / product

Field note · 2026.08 · agent context

Agent Handoff

Agent Handoff connects agent context, acceptance evidence, and human review as one consequential decision.

A conceptual HardMagic editorial composition illustrating creative and technical systems.
AI-generated conceptual artwork, selected and art-directed by HardMagic; scenario art, not product, infrastructure, client, or performance evidence.

Position / 01

Agents need bounded observations, acceptance evidence, and review context rather than larger prompts.
01

The decision in front of you

Agent Handoff connects agent context, acceptance evidence, and human review as one consequential decision.

Agents need bounded observations, acceptance evidence, and review context rather than larger prompts.

02

Why agent context changes the work

This page helps readers evaluate agent-ready product direction.

It treats agent context, acceptance evidence, and human review as connected operating concerns rather than isolated deliverables.

03

What to inspect

  • Use the handoff packet to establish context, then inspect the agent sequence for mechanism and decision points.
  • The evidence checklist should expose evidence, trade-offs, or a practical exercise instead of serving as decoration.

Keep tracing the questionDownload the checklist

04

Boundaries and proof

Capabilities, availability, integrations, and deployment details must reflect current product evidence and status.

Before publication, factual claims require inspectable product behavior, attributed first-party experience, or dated source notes.

05

Choose the next depth

  • Ready readers can pilot an agent workflow.
  • Readers still framing the problem can download the checklist.
Page instruments01handoff packet02agent sequence03evidence checklist04review gate

Operating view

Make the invisible structure visible.

HardMagic works in systems: who decides, what evidence travels with the work, where intelligence runs, and how an idea survives the journey into production. This diagram is conceptual—not a claim of measured product performance.

The next useful depth

Choose the path that fits the decision.

Evaluate agent-ready product direction. If the question has an owner and a horizon, take the working path. If it still needs language, keep building context first.