---
slug: agent-procedure-memory-survives-a-model-change
title: Reuse an agent procedure across supported models
subtitle: Keep the Play version and check the new environment
description: Learn what a Rote Play preserves when you change agents or models, which dependencies still matter, and how to compare results without assuming identical output.
author: Modiqo
published: 2026-08-28
updated: 2026-09-21
---

# Reuse an agent procedure across supported models

## Keep the Play version and check the new environment

A versioned procedure can preserve its declared steps when you change the agent that invokes it. Portability still depends on compatible tools, access, inputs, and any model calls inside the procedure. Changing models is a reason to check behavior.

Rote by Modiqo turns successful AI agent work into reusable Plays. Inspect the steps, run them with new inputs, and share the method across supported agents.

## A version preserves the method, not the outside world

A pinned Play identifies a specific published procedure. It does not freeze live services, credentials, local tools, or model behavior. A model-backed step can return a different result even when the surrounding procedure stays unchanged.

The [service-status Play by rahulparas](https://play.modiqo.ai/rahulparas/site-status@0.1.0) provides a small public example. Its published description checks GitHub, npm, and Cloudflare through public status APIs. It declares one step and no authentication requirement.

Inspect the version before running it:

```bash
rote play inspect https://play.modiqo.ai/rahulparas/site-status@0.1.0
rote play run https://play.modiqo.ai/rahulparas/site-status@0.1.0
```

A later run may report a new incident. That is fresh data from the same method, not necessarily a regression.

## Use the same Play URI in another supported agent

Set up Rote for the receiving agent, then give it the same pinned URI. Ask it to inspect the source, explain the requirements, and run only after those requirements are satisfied. Claude Code, Codex, and Cursor are supported entry points described in the [setup guide](/docs/run-your-first-play).

This is a reproducible handoff procedure, not a claim that this article tested every agent or model. If the receiving environment lacks a required tool, install or configure it before retrying.

## Check these boundaries after a model change

| Boundary | What to verify |
|---|---|
| Play identity | Both runners use the same pinned version |
| Inputs | Parameters and relevant source data are comparable |
| Local environment | Required commands, files, and runtime versions exist |
| Service access | The runner has the required account and permissions |
| Model calls | The chosen model supports the step and its expected output |
| Result | Errors, unavailable sources, and changed live data remain visible |

A successful test on one task does not establish universal portability. Save the version, inputs, environment, and result when you compare runs.

## Measure cost before claiming savings

Reusing a procedure can avoid repeating discovery. The total cost still depends on model calls, tools, retries, and setup. We do not publish a general savings percentage or benchmark result for this example.

Measure completed work, including failures and supervision, before choosing a model for cost reasons. The [skills and workflows comparison](/blog/agent-skills-workflows-prompts-and-plays) explains how guidance and executable steps can work together.

## Share the method with its requirements

Use the [sharing guide](/blog/share-an-agent-workflow-without-sharing-credentials) to hand a pinned Play to a teammate. Browse [Trending Plays](/trending) for other published methods and inspect each source before use.