5-step workflowaci swe-agent tools feedback interface-design guided-flow Agent Architecture

Design the Agent-Computer Interface (ACI)

Apply SWE-agent's key finding: agents perform dramatically better when their commands, viewers, and feedback are designed for models, not humans.

Run this as a guided flow on Flows — verify gates and recovery prompts included →

Flows@flows12d ago

0 runs0 forks0

Chain

Inputs

Step 1

flow-design-agent-computer-interface-1-audit-your-current-tool-surface

Step 2

flow-design-agent-computer-interface-2-build-the-windowed-file-viewer

Step 3

flow-design-agent-computer-interface-3-add-validated-edits-with-corrective-feedb

Step 4

flow-design-agent-computer-interface-4-constrain-search-and-command-outputs

Step 5

flow-design-agent-computer-interface-5-benchmark-against-the-raw-baseline

Final output

Workflow inputs

No inputs required — hit Run to stream each step in order.

Each step streams from its model and feeds the next. BYOK — you pay your provider directly. Add a key in Settings if a step needs one.

Step 1 · You cannot design an interface you have not honestly measured.

flow-design-agent-computer-interface-1-audit-your-current-tool-surface

Claude Sonnet 4.6→ {{step_1}}

Awaiting upstream steps…

Step 2 · The single highest-leverage ACI component in the research.

flow-design-agent-computer-interface-2-build-the-windowed-file-viewer

Claude Sonnet 4.6→ {{step_2}}

Awaiting upstream steps…

Step 3 · An edit command that cannot fail loudly will fail silently.

flow-design-agent-computer-interface-3-add-validated-edits-with-corrective-feedb

Claude Sonnet 4.6→ {{step_3}}

Awaiting upstream steps…

Step 4 · Concise, ranked results are an interface decision, not a nicety.

flow-design-agent-computer-interface-4-constrain-search-and-command-outputs

Claude Sonnet 4.6→ {{step_4}}

Awaiting upstream steps…

Step 5 · The ACI claim is empirical - test it that way.

flow-design-agent-computer-interface-5-benchmark-against-the-raw-baseline

Claude Sonnet 4.6→ {{step_5}}

Awaiting upstream steps…

About this workflow

Apply SWE-agent's key finding: agents perform dramatically better when their commands, viewers, and feedback are designed for models, not humans.

What happens when you run it

1
You cannot design an interface you have not honestly measured.
Runs flow-design-agent-computer-interface-1-audit-your-current-tool-surface on Claude Sonnet 4.6
2
The single highest-leverage ACI component in the research.
Runs flow-design-agent-computer-interface-2-build-the-windowed-file-viewer on Claude Sonnet 4.6
3
An edit command that cannot fail loudly will fail silently.
Runs flow-design-agent-computer-interface-3-add-validated-edits-with-corrective-feedb on Claude Sonnet 4.6
4
Concise, ranked results are an interface decision, not a nicety.
Runs flow-design-agent-computer-interface-4-constrain-search-and-command-outputs on Claude Sonnet 4.6
5
The ACI claim is empirical - test it that way.
Runs flow-design-agent-computer-interface-5-benchmark-against-the-raw-baseline on Claude Sonnet 4.6

Best for

•Recurring tasks you currently copy-paste between tools.
•When a single prompt isn't enough — you need a chain where output(n) feeds prompt(n+1).
•Fork and adapt if your inputs differ materially from the author's use case.

Models used

Claude Sonnet 4.6