# AI use cases for DSH Council (a1exsun/dsh-council) Repo: [a1exsun/dsh-council](https://github.com/a1exsun/dsh-council) | Use cases: 3 | Page: https://dedupedai.com/use-cases/a1exsun-dsh-council/ A DSH Council plugin that asks several AI models to answer a question independently, review each other's answers anonymously, and produce one inspectable final recommendation inside DeepSeek Harness. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Stress-test an architecture decision before committing: https://dedupedai.com/use-cases/a1exsun-dsh-council/stress-test-architecture-decision/ - Map where AI models agree and disagree on a research question: https://dedupedai.com/use-cases/a1exsun-dsh-council/map-disagreement-on-research-question/ - Check a business plan for blind spots before deciding: https://dedupedai.com/use-cases/a1exsun-dsh-council/review-business-plan-for-blind-spots/ ## How to stress-test an architecture decision before committing with DSH Council Repo: [a1exsun/dsh-council](https://github.com/a1exsun/dsh-council) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README Get independent answers, anonymous reviews, and a reasoned recommendation on a design choice. **Who it is for:** A software engineer choosing between two system designs that have different failure modes. **The problem:** A single model can give a confident answer that misses failure cases the team has not considered. **The outcome:** A recommended design with stated assumptions, listed disagreements, and blind spots you can check. ### Steps 1. Install DSH by following the official guide at https://www.deepseek.com/harness/ 2. Run `npx --yes @deepseek-ai/dsh@latest plugin --profile web add @a1exsun/dsh-council@0.1.0` 3. Run `npx --yes @deepseek-ai/dsh@latest web` and restart DSH Web if it is already running 4. In a DSH Web conversation, enter `/council` and choose answerers, reviewers, and an arbiter 5. Ask a question that includes the context, both options, and the failure scenario, then read the confidence notes and blind spots ### Prompt to paste into your agent ```text Using the a1exsun/dsh-council repo in DSH Web, run /council on this design question: . Return the recommended design, its stated assumptions, and the listed disagreements and blind spots. Verify that every assumption appears in the question context and was not invented. ``` ### Caveat Model agreement does not guarantee correctness, and each run uses 4 to 17 model participants that may make multiple requests and use Web tools. 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/a1exsun-dsh-council/stress-test-architecture-decision/ ## How to map where AI models agree and disagree on a research question with DSH Council Repo: [a1exsun/dsh-council](https://github.com/a1exsun/dsh-council) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README Run a panel on a contested question and read the consensus, disagreements, and rankings. **Who it is for:** A researcher or analyst who needs a structured overview of a question where sources conflict. **The problem:** One model summary hides where the models, and the evidence behind them, actually disagree. **The outcome:** A decision summary with consensus, disagreements, and average rankings, plus the original answers kept in DSH child sessions. ### Steps 1. Install DSH by following the official guide at https://www.deepseek.com/harness/ 2. Run `npx --yes @deepseek-ai/dsh@latest plugin --profile web add @a1exsun/dsh-council@0.1.0` 3. Run `npx --yes @deepseek-ai/dsh@latest web` and restart DSH Web if it is already running 4. In a DSH Web conversation, enter `/council`, then select answerers, reviewers, and an arbiter 5. Open the child sessions to read the original answers and reviews behind the final summary ### Prompt to paste into your agent ```text Using the a1exsun/dsh-council repo in DSH Web, run /council on this research question: . Return the consensus, the disagreements, and the average rankings. Verify each cited claim against the source material before using it. ``` ### Caveat The plugin does not gather sources for you, so check every factual claim against primary material before relying on it. 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/a1exsun-dsh-council/map-disagreement-on-research-question/ ## How to check a business plan for blind spots before deciding with DSH Council Repo: [a1exsun/dsh-council](https://github.com/a1exsun/dsh-council) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README Have several configured models answer, review, and rank two planning options. **Who it is for:** A founder or operator choosing between two plans where a wrong call costs real money. **The problem:** A plan can look sound from one angle and still miss a risk that another perspective would catch. **The outcome:** A recommendation with confidence notes and listed blind spots to bring into your own review. ### Steps 1. Install DSH by following the official guide at https://www.deepseek.com/harness/ 2. Run `npx --yes @deepseek-ai/dsh@latest plugin --profile web add @a1exsun/dsh-council@0.1.0` 3. Run `npx --yes @deepseek-ai/dsh@latest web` and restart DSH Web if it is already running 4. In a DSH Web conversation, enter `/council` and choose the panel for this run 5. Ask with the two options, the constraints, and the decision deadline, leaving out confidential figures ### Prompt to paste into your agent ```text Using the a1exsun/dsh-council repo in DSH Web, run /council on this planning question: . Return the recommendation, the listed blind spots, and the points where the models disagree. Verify that the question contains no confidential figures before sending it. ``` ### Caveat Your question and intermediate answers go to the providers you selected, so keep confidential business figures out of the prompt. 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/a1exsun-dsh-council/review-business-plan-for-blind-spots/