# AI use cases for Resimind (1105216375-alt/resimind)

Repo: [1105216375-alt/resimind](https://github.com/1105216375-alt/resimind) | Use cases: 5 | Page: https://dedupedai.com/use-cases/1105216375-alt-resimind/

ResiMind is an open-source Python architecture that checks agent steps with independent verifiers and reuses checked rules.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Give an existing agent exact algebra checks via MCP: https://dedupedai.com/use-cases/1105216375-alt-resimind/give-agent-exact-algebra-tools/
- Teach an agent a bounded verify-and-repair workflow: https://dedupedai.com/use-cases/1105216375-alt-resimind/teach-agent-verify-and-repair-workflow/
- Test whether a math tool rejects a convincing wrong answer: https://dedupedai.com/use-cases/1105216375-alt-resimind/probe-agent-before-integrating-checks/
- Check a support refund amount before it reaches a customer: https://dedupedai.com/use-cases/1105216375-alt-resimind/check-refund-before-sending/
- Reject an unfeasible travel itinerary before presenting it: https://dedupedai.com/use-cases/1105216375-alt-resimind/reject-unfeasible-travel-plan/

## How to give an existing agent exact algebra checks via MCP with Resimind

Repo: [1105216375-alt/resimind](https://github.com/1105216375-alt/resimind) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Connect ResiMind's five MCP math tools so an agent verifies bounded polynomial algebra.

**Who it is for:** A developer whose AI agent gives algebra answers that look right but are not checked, and who wants exact verification before answers reach users.

**The problem:** Model-written algebra steps can contain errors that read as convincing. The agent needs a tool that checks each step exactly.

**The outcome:** The agent calls ResiMind's MCP math tools to verify bounded rational polynomial steps and reject wrong ones.

### Steps

1. `git clone https://github.com/1105216375-alt/resimind.git`
2. `cd resimind`
3. `python -m venv .venv`
4. `source .venv/bin/activate`
5. `python -m pip install .`
6. Follow the MCP setup guide in docs/agent-tools.md to register the five MCP tools with your agent. Alternatively, download the MCPB bundle from the v0.16.0 release.

### Prompt to paste into your agent

```text
Using the ResiMind repo at <repo path>, connect its five MCP math tools to my agent and verify the algebra step in <target expression>. Expected output: an accept or reject verdict for that step. Verify that a deliberately wrong step is rejected before trusting the tool.
```

### Caveat

The MCP tools cover bounded rational polynomials only, and MCP memory is process-local, so it does not persist across sessions.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/1105216375-alt-resimind/give-agent-exact-algebra-tools/

## How to teach an agent a bounded verify-and-repair workflow with Resimind

Repo: [1105216375-alt/resimind](https://github.com/1105216375-alt/resimind) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Install the algebra repair Skill so an agent checks, repairs, and reports failed steps.

**Who it is for:** A team lead who runs an agent on algebra homework or problem sets and wants it to fix its own failed checks in a bounded way.

**The problem:** An agent that cannot tell when its algebra is wrong keeps passing mistakes forward without a repair path.

**The outcome:** The agent follows the verify-and-repair Skill, which uses failed checks to guide a bounded repair attempt.

### Steps

1. `git clone https://github.com/1105216375-alt/resimind.git`
2. `cd resimind`
3. Open skills/verify-and-repair-algebra/SKILL.md and read the scope it covers.
4. Follow the install guide at docs/discovery-and-distribution.md#install-the-repair-skill to add the Skill to your agent.
5. Run a known wrong algebra step through the agent and confirm it is flagged and repaired within the stated bounds.

### Prompt to paste into your agent

```text
Using the ResiMind repo at <repo path>, install the verify-and-repair-algebra Skill into my agent and run it on the algebra problem <problem text>. Expected output: a verified solution or a list of unresolved residuals. Verify that the agent reports a failed check rather than presenting an unchecked answer as final.
```

### Caveat

The Skill is bounded to the algebra scope described in its SKILL.md, so unsupported problem types will not get verified repairs.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/1105216375-alt-resimind/teach-agent-verify-and-repair-workflow/

## How to test whether a math tool rejects a convincing wrong answer with Resimind

Repo: [1105216375-alt/resimind](https://github.com/1105216375-alt/resimind) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README

Run the nine-call integration probe to see reject, repair, learn, and recall before adopting it.

**Who it is for:** An engineer evaluating verification tools for an agent who needs proof the tool catches wrong answers before wiring it into production.

**The problem:** Choosing a verifier from its README alone does not show whether it actually rejects a plausible but wrong result.

**The outcome:** A pass or fail record for reject, repair, learn, and recall, plus a check that an unsupported-scope control is handled.

### Steps

1. `git clone https://github.com/1105216375-alt/resimind.git`
2. `cd resimind`
3. Open docs/algebra-repair-cases.md#before-you-integrate-make-it-reject-a-convincing-wrong-answer and follow the nine-call probe steps.
4. Note the machine-readable cases in examples/agent_probe_cases.json and compare your results to them.
5. Record which calls reject the wrong answer, which repair it, which learn the rule, and which recall it.

### Prompt to paste into your agent

```text
Using the ResiMind repo at <repo path>, run the nine-call integration probe from docs/algebra-repair-cases.md against my agent. Expected output: a table of reject, repair, learn, recall, and unsupported-scope results. Verify that the wrong-answer call is rejected before any repair is accepted.
```

### Caveat

The probe needs no model key, but it only tests the algebra scope, so it does not show performance on other domains.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/1105216375-alt-resimind/probe-agent-before-integrating-checks/

## How to check a support refund amount before it reaches a customer with Resimind

Repo: [1105216375-alt/resimind](https://github.com/1105216375-alt/resimind) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Run the customer support demo to see a wrong refund proposal rejected by its calculation.

**Who it is for:** A support operations lead whose agent drafts refund amounts and who needs a check on the arithmetic before a customer sees it.

**The problem:** An agent may propose a refund that does not match the configured calculation, and the error can go out unnoticed.

**The outcome:** A clear view of how a proposal that fails the configured calculation is rejected, using the demo's ¥259 versus ¥249 case.

### Steps

1. `git clone https://github.com/1105216375-alt/resimind.git`
2. `cd resimind`
3. `python -m venv .venv`
4. `source .venv/bin/activate`
5. `python -m pip install .`
6. `python -m resimind demo --domain customer-support`

### Prompt to paste into your agent

```text
Using the ResiMind repo at <repo path>, run the customer support demo and show how a proposed refund is checked against the configured calculation. Expected output: the ¥259 proposal rejected against the ¥249 calculation. Verify that the rejection reason is shown and no refund is committed.
```

### Caveat

The demo uses a fixed configured calculation, so you must supply your own refund rules and checks to use it for real refunds.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/1105216375-alt-resimind/check-refund-before-sending/

## How to reject an unfeasible travel itinerary before presenting it with Resimind

Repo: [1105216375-alt/resimind](https://github.com/1105216375-alt/resimind) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README

Run the offline planning demo to see time, budget, and route constraints reject a bad plan.

**Who it is for:** A product developer building a day-trip or itinerary feature who needs an agent's plan checked against hard constraints.

**The problem:** A model may propose a plan that looks reasonable but breaks time, budget, or route limits.

**The outcome:** An understanding of how open-ended plans are checked against constraints, with rejected candidates and a checked revision.

### Steps

1. `git clone https://github.com/1105216375-alt/resimind.git`
2. `cd resimind`
3. `python -m venv .venv`
4. `source .venv/bin/activate`
5. `python -m pip install .`
6. `python -m resimind demo --domain planning`

### Prompt to paste into your agent

```text
Using the ResiMind repo at <repo path>, run the open-planning demo and report which candidate itineraries are rejected and why. Expected output: rejected plans with the failed time, budget, or route constraint named. Verify that accepted plans satisfy every supplied hard constraint.
```

### Caveat

The planning fixtures use synthetic venue and transport data, so feasibility results apply only to those inputs.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/1105216375-alt-resimind/reject-unfeasible-travel-plan/