DEDUPED Hot AI repos, turned into use cases Get 5 a day

Money use cases

54 use cases from hot AI repos, best first. Each one has steps and a prompt.

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 disclaimer

54 use cases

  • Run the offline research sample and open its workbench

    Start the local app on bundled fixtures and inspect the staged research workbench without any external services.

    View prompt
    In the finathink repo, set up the environment as described in its Quick Start, then run the local app with --sample on port 8765. Report the /workbench stage list, each stage status, and the manifest fingerprint shown. Verify that the sample run reports the stages from the research flow without requiring any external credentials.

  • Compare products for a shopping brief

    Get ranked product choices with reasons, rejected offers, and sources from your AI app.

    View prompt
    Use the NorthCinder MCP server to search for <product request> and compare price, delivery, fit, and merchant trust. Return up to three ranked choices with the reason for each rank, the rejected offers, and any facts that could not be verified. Verify that each choice lists the store it came from and that no purchase was started.

  • Screen companies as they stood on a past date

    Run a metric threshold screen on SEC filings using only what was public on a chosen date.

    View prompt
    In the Qanat project at <project-folder>, run a screen for metric pe below 30 as of <date> using the qanat screen command. Return the companies that passed, the count evaluated, and the count that could not be evaluated. Verify that the list is shown together with the unevaluated count so no companies are silently dropped.

  • Track what each DSH conversation costs per day

    See live cost and token totals per conversation, plus daily and period statistics inside DSH.

    View prompt
    Using the dsh-cost-meter plugin in DeepSeek Harness 0.2.0 or later, open Settings → Cost → Cost statistics and report the total cost and call count for <period>, ranked by model. Verify that today's total matches the Summary cards on the Settings page.

  • Find the cheapest listed API for a model

    Ask your agent for the lowest listed price for a model, with the site, group, unit and observation date.

    View prompt
    Using the Grandet Skill or the MCP server at https://grandet.ai/mcp, find the cheapest listed API for <model name>. Return the top three options with site, group, price, unit and observation date, and confirm that prices are shown in one currency unit only.

  • File your FY 2025-26 income tax return without a CA

    Turn Form 16 and AIS into a checked, regime-compared filing pack for the income tax portal.

    View prompt
    Using the itr-wala repo at <repo-path>, run the self-test, then extract income from the Form 16 and AIS in <documents-folder> into income.json for FY 2025-26. Produce the old and new regime comparison and the portal filing pack. Expected output: a comparison table and one final payable or refund figure; verify the self-test ends with OK and that TDS matches the AIS total before you report.

  • Draw a price level and get alerted when it breaks

    Install the Desktop app, draw a line or zone on a chart, and set an alert for when price crosses it.

    View prompt
    Using the OpenChart app on my Mac, help me draw a line at <price> on the <symbol> chart and set an alert for when price crosses it. Expected output: a confirmed alert on that level. Verify the alert appears in the app's alert list before you finish.

  • Test the app on invented household data first

    Start the app with invented data to see every screen before entering real finances.

    View prompt
    In the aurelio-finance repository, start the app with the demo flag for <target OS> and report the URL or screen it opens on. Verify that the app shows an invented household and that backend/data.db is not changed by the demo start.

  • Pick the best value product under a Toman budget

    Get ranked product picks under a price cap, with a seller grade on the top pick, from Digikala.

    View prompt
    Use the Digikala MCP server at https://digikala-mcp.mmdju.workers.dev/mcp. Call find_best_value for <product type> under <budget in Toman> and return the ranked picks with prices in Toman and product URLs. Verify that every price is in Toman and that the top pick includes a seller grade.

  • Get screened Robinhood Chain signal cards on chat

    Run five screening agents that post only 80%+ confidence call cards to Discord and Telegram.

    View prompt
    Using the noraz-agent repo, set up the bot with DRY_RUN enabled and start it in development mode. Expected output: the bot runs and posts at least one call card or a status message to the configured Discord or Telegram channel. Verify that DRY_RUN is still true in the .env file before reporting success.

  • Ask your AI assistant about your bank balances

    Run BankMCP on your own machine and ask Claude or Cursor about balances and transactions.

    View prompt
    Using the repo noskillish/bankmcp, set up BankMCP on this machine for <bank name>, then ask the assistant for the booked balance of each account. Expected output: one balance per linked account. Verify one balance against the bank's own app before trusting the answers.

  • Re-count an AI support bill against the vendor rule

    Run the free CLI on a billing export to see overcharge and undercharge findings, unsettled rows and dollar variance.

    View prompt
    Using the AgentMeasure repo, run `agentmeasure recount --export <export.csv> --vendor <vendor>` on the file at <export.csv> and report the overcharge, undercharge, net variance and count of cannot settle rows. Verify that rows without enough evidence are excluded from the claim rather than zeroed.

  • Compare a product's price in Toman across Iranian shops

    Ask an agent for the cheapest shop for a product, with prices in Toman, from Digikala and Torob.

    View prompt
    Using the awesome-iran-mcp servers digikala and torob, find the price in Toman of <product name> at every shop that lists it, then return the cheapest in-stock offer with its shop name and link. Check that every price in the answer comes from a tool result and is stated in Toman.

  • Normalize your own data API into point-in-time batches

    Save a data connection, map its fields, run a trial pull and check PIT status and fingerprints before research uses it.

    View prompt
    In the finathink repo, follow docs/USER_DATA_API_GUIDE.md to map the fields of <data API name> and run one explicit trial connection. Report the DataBatch fingerprint, field quality summary and PIT status. Verify that no credential value appears in any saved research record or log.

  • Vet a seller before buying

    Run NorthCinder's seller research guide to check identity, sources, and unknowns.

    View prompt
    Using the NorthCinder MCP server, read northcinder://research/seller, then call create_research_plan for the seller <seller name> and the request <request>. Return the checklist results, source conflicts, and unknown seller history, and mark the result as provisional. Verify that the seller identity matches the exact merchant named before treating any finding as usable.

  • Measure what screened companies did between filings

    Run a screen over a date window and read each passing company's return between its own filing dates.

    View prompt
    Using the Qanat project at <project-folder>, run a windowed screen from <start-date> to <end-date> on the metric and threshold <rule>. Report the per-company return from each company's own filing to its next filing, along with the evaluated and unevaluated counts. Verify that no average or aggregate has been added, since Qanat reports per-company returns only.

  • Watch coding plan and OpenCode Go quota before you hit a limit

    Show rolling usage percentages and reset times for supported coding plans and OpenCode Go in the sidebar and quota strip.

    View prompt
    Using the dsh-cost-meter plugin in DeepSeek Harness 0.2.0 or later, read the current usage percentage and reset time for each enabled coding plan window and for OpenCode Go, then list any window at 80 percent or more. Verify that the values match the sidebar quota cards for the same vendors.

  • Find free credit for a model without a card

    Look up official free tiers and trial credit for a model, and see whether a card or ID check is needed.

    View prompt
    Use the Grandet free-credit lookup at https://grandet.ai/api/v1/free-credits?q=<model or provider> to list free credit offers for <model or provider>. Return each offer with whether a card, ID check or application is needed, and flag any offer that needs a card.

  • Plan FY 2026-27 advance tax payments and due dates

    Get the next advance-tax amount and its due date from your expected income and TDS.

    View prompt
    In the itr-wala repo at <repo-path>, run the advance-tax validator and engine on a FY 2026-27 income file for <your-income-file>. Expected output: the amount to pay next and its due date, with late fees and interest excluded from the target; verify the validator accepts the file and that no future payment is counted as already paid.

  • Explain what moved a chart with sourced annotations

    Select a price range and have your agent research the move, with source-linked notes pinned to the bars.

    View prompt
    In the OpenChart app, select the bars from <start date> to <end date> on the <symbol> chart and ask the agent what moved the price. Expected output: annotations pinned to those bars, each with a source link. Verify that each annotation links to a source you can open before you rely on it.

  • Track net worth and holdings on your own computer

    Keep banks, brokers, cash, holdings and debts in one local app that stays on your machine.

    View prompt
    In the aurelio-finance repository, start the app on my own data for <target OS> and list the Wealth and Portfolio entries it shows. Verify that the records are saved to backend/data.db on this machine.

  • Check whether one product is worth buying

    Pull details, buyer reviews, sellers and price history for a single Digikala product.

    View prompt
    Use the Digikala MCP server at https://digikala-mcp.mmdju.workers.dev/mcp. For product <product id or name>, call product_details, product_reviews (buyer-only), product_sellers and product_price_chart, then write a verdict on price, seller and reviews. Verify that the verdict cites the product URL and states prices in Toman.

  • Audit a Robinhood Chain token before buying

    Run a token audit from the terminal or Discord to check security before any trade decision.

    View prompt
    Using the noraz-agent repo, run a live token audit on <token-address> through the Terminal TUI or the #audit-on-demand channel. Expected output: an audit summary that includes the GMGN and GoPlus security results. Verify that the audit result is shown before any buy or swap action is taken.

  • Get alerts when a balance or payment changes

    Create watches that notify a Slack channel or webhook when balances or payments cross a rule.

    View prompt
    Using the repo noskillish/bankmcp, create a balance watch on the account labelled <account label> with a threshold of <amount>. Expected output: a saved watch returned by list_watches with its rule and webhook target. Verify that the webhook URL is set and that the watch shows the correct threshold.

  • Check local Codex or Claude sessions for duplicate retries

    Inspect your own Codex or Claude Code session logs for duplicate records, retry amplification and token anomalies.

    View prompt
    Using the AgentMeasure repo, run `agentmeasure check --runtime claude` on this machine and report duplicate records, retry amplification and token anomalies, with any missing inputs listed separately. Verify that the report states which inputs were not found instead of marking them as passing.

  • Plan a trip with flights, stays and a doctor visit

    Have an agent check flights, stays and a doctor's free slot in one request.

    View prompt
    Using the awesome-iran-mcp servers mrbilit, jabama and paziresh24, find the cheapest flight from <origin> to <destination> on <date>, a stay under <budget> Toman per night for <number> nights, and a doctor with a free slot in <city>. Return one table with each option, its price in Toman and its time, and state which items you could not check.

  • Trace why a paper decision card cannot be executed

    Follow the risk, portfolio and quant gates to see which stage kept a paper decision card in a non-executable state.

    View prompt
    In the finathink repo, open the HTML report from a local sample run and list each risk, portfolio and quant stage with its status and evidence reference. Report whether the paper decision card is executable. Verify that the card is non-executable if any upstream stage failed, and state that the repo does not place broker orders.

  • Approve one exact purchase at a set cap

    Buy a single chosen offer through a one-time signed approval or finish in your browser.

    View prompt
    Using the NorthCinder MCP server, prepare checkout for the offer <offer id> with a spending cap of <amount>, one unit only. Return the approval details, the checkout result or cart link, and the audit log entry. Verify that the merchant, variant, price, and total match the approval before any payment step runs.

  • Ask an AI agent questions over dated filings

    Connect an MCP client to Qanat's read-only research scope and query SEC filings and screens in plain language.

    View prompt
    Using the qanat MCP server in <project-folder> with research scope, answer this question: <question>. Reply with the answer, the source filings or tables used, and the dates they were public. Verify that every number comes from a Qanat tool call and not from memory.

  • Set a spending budget and get warned before you go over

    Track budget used percentage and today's share of budget, with warnings at 80 percent and over-budget at 100 percent.

    View prompt
    Using the dsh-cost-meter plugin in DeepSeek Harness 0.2.0 or later, read the current budget used percentage and today's cost against the budget limit, and say whether the warning or over-budget state applies. Verify that the figure matches the budget box in the sidebar.

  • Connect the cheapest API to your coding agent

    Store a key hidden in your terminal and let Grandet write a backed-up config change to your agent.

    View prompt
    Using the Grandet Skill connect program for <app name, for example Codex or Claude Code>, connect the chosen API for <model name>. Show the configuration change before writing, confirm the backup was made, and report the result of the key, group and model name check.

  • Recheck an old FY 2025-26 tax result after the 1.3.0 fix

    Recompute your FY 2025-26 tax to see whether an earlier install understated new-regime tax.

    View prompt
    Using the itr-wala repo at <repo-path>, update to version 1.3.0 or later, then recompute the FY 2025-26 tax for <your-income-file>. Expected output: a recomputed new-regime total and the difference from the earlier result; verify the engine version is 1.3.0 or later before comparing with the filed return.

  • Turn a plain-language watch rule into a Tea monitor

    Describe a market condition to your agent and get a Tea monitor that checks incoming data and investigates when it fires.

    View prompt
    In the openchart repo, create a Tea monitor that watches for <condition> on <symbol> and investigates when it fires. Expected output: a monitor definition that evaluates incoming data and triggers an investigation. Verify by checking that the monitor compiles and that the condition matches the rule I described.

  • Get answers about your records from an AI advisor

    Chat with an AI advisor that answers from your own records, using your own OpenRouter key.

    View prompt
    In the aurelio-finance repository, after setting OPENROUTER_API_KEY in backend/.env, ask the Ask Aurelio chat <target question about my records> and report the answer. Verify that any proposed change appears as a card and that no change is saved before I confirm it.

  • Compare a shortlist of products by the specs that differ

    Line up up to 10 Digikala products and see only the specs that actually differ.

    View prompt
    Use the Digikala MCP server at https://digikala-mcp.mmdju.workers.dev/mcp. Take these product ids: <comma-separated ids, up to 10>. Call get_products_batch, then compare_products, and return a table of only the differing specs with price in Toman. Verify that no product is missing from the table.

  • Run the agent 24/7 on a VPS with health checks

    Deploy the PM2 daemon, check diagnostics, and update the agent on a Linux server.

    View prompt
    Using the noraz-agent repo on a Linux VPS, run `noraz deploy` and then `noraz doctor`. Expected output: PM2 shows noraz-agent as online and the doctor report lists no failed checks. Verify the result with `npx pm2 status` before reporting success.

  • Get a monthly spending summary and budget

    Use the built-in monthly-summary and build-budget prompts to review last month's spending.

    View prompt
    Using the repo noskillish/bankmcp, run the monthly-summary prompt for <month and year> on the account labelled <account label>. Expected output: a summary of income and spending for that month. Verify that one category total matches the transactions listed by get_transactions.

  • Compare Claude response usage across session files

    Group response IDs from two Claude session files to see repeated usage snapshots, conflicts and missing fields.

    View prompt
    Using the AgentMeasure repo, run `agentmeasure response-audit <first-file.jsonl> <second-file.jsonl> --json responses.json` and summarize the conflicts and missing fields per response ID. Verify that the output does not select a winning snapshot or compute a session total.

  • Check whether a Divar ad is fairly priced

    Have an agent compare a home, car or phone ad on Divar with the market and flag bad deals.

    View prompt
    Using the awesome-iran-mcp divar server, check whether the ad at <ad link or search term> in <city> is fairly priced compared with similar listings. Return the fair-price result, the market statistics behind it, and the three best-value ads with prices in Toman. Verify that each price comes from a tool result.

  • Compare model token prices before picking a model

    Check per-token rates and update times for OpenRouter and multi-vendor models, and sync official prices.

    View prompt
    Using the dsh-cost-meter plugin in DeepSeek Harness 0.2.0 or later, search the price catalog in Settings → Cost → Prices for <model name> and report its input and output token rates and last update time. Verify the rates against the official model link shown in the table.

  • Pull the live price board into your own analysis

    Fetch the public price board over HTTP to compare model prices in a script or spreadsheet.

    View prompt
    Fetch https://grandet.ai/api/v1/board and read the field description at https://grandet.ai/public-data/price-finder.json. Produce a table of listed prices for <model name> with source, unit and observation date, and do not compare USD, CNY or cash prices with each other.

  • Compare old and new tax regimes with exact rupee savings

    See the tax under each regime side by side and which one saves more.

    View prompt
    In the itr-wala repo at <repo-path>, validate <your-income-file> for FY 2025-26, then run the tax engine on it. Expected output: old and new regime totals with the recommended regime and the rupee saving; verify the validator passes before you report the comparison.

  • Write a custom indicator in Tea

    Code your own indicator or condition in Tea using functions, loops, state, and collections.

    View prompt
    In the openchart repo, write a Tea indicator that computes <your logic> on the <symbol> chart. Expected output: a Tea source file that compiles and draws the indicator on the chart. Verify by loading it with `just desktop` and checking the values against a few bars you calculate by hand.

  • See what your funds really hold with look-through

    Break down fund holdings by country, sector, company and currency to find overlap.

    View prompt
    In the aurelio-finance repository, open the Look-through view for my positions and list the top three companies and top three countries by exposure. Verify that each figure matches the fund holdings shown in the app.

  • Track today's Digikala deals and bestsellers

    Get a daily list of current deals and site-wide bestsellers from Digikala.

    View prompt
    Use the Digikala MCP server at https://digikala-mcp.mmdju.workers.dev/mcp. Call incredible_offers and best_selling, then return today's deals and bestsellers with prices in Toman and product URLs. Verify that each deal line includes a URL the user can open.

  • Write screening rules in plain English

    Describe the signals you want in one sentence and let the agent compile them into a strategy.

    View prompt
    Using the noraz-agent repo, set a Custom Prompt strategy describing <your-screening-rule> and start the bot with `noraz run`. Expected output: a compiled strategy file or a logged fallback to the safe default. Verify that the 80% confidence gate and security gates are still listed as mandatory before reporting the setup as complete.

  • Find subscriptions and what they cost per year

    Run the subscription-audit prompt to list recurring payments and their yearly cost.

    View prompt
    Using the repo noskillish/bankmcp, run the subscription-audit prompt on the account labelled <account label>. Expected output: a list of recurring charges with yearly cost for each. Verify one charge against the matching line in get_transactions.

  • Prepare a redacted Healthcheck summary to review

    Create a local summary file from a check report, inspect it, and validate it before choosing to send it.

    View prompt
    Using the AgentMeasure repo, run `agentmeasure check --json report.json`, then `agentmeasure share report.json --out summary.json`, then `agentmeasure validate summary.json`. Report whether validation passed and list the fields in summary.json. Verify that no upload happened and that report.json was not attached to any message.

  • Plan heavy model work around peak and off-peak pricing hours

    See which hours are peak and get a popup or system alert before pricing switches.

    View prompt
    Using the dsh-cost-meter plugin in DeepSeek Harness 0.2.0 or later, report whether the current UTC time is peak or off-peak and the next switch time. Verify the result against the peak/off-peak hours display in the plugin.

  • Set up a source build to contribute to OpenChart

    Clone the repo, install the pinned toolchain, run the app from source, and run checks before a pull request.

    View prompt
    In the openchart repo, make the change described in <issue link> and prepare a pull request. Expected output: a branch with the change and a passing `just check` run. Verify that `just check` passes before you open the pull request.

  • Run the test suites and dev servers after changes

    Check backend and frontend tests and start hot reload servers while editing the code.

    View prompt
    In the aurelio-finance repository, run `uv run pytest` in backend/ and `npm test` in frontend/ on <target branch> and report the pass and fail counts for each. Verify that both commands exit with success before reporting the branch as ready.

  • Verify the live Digikala MCP server before relying on it

    Run the bundled check to confirm the endpoint, tool list and error paths still work.

    View prompt
    Clone https://github.com/mmdju/digikala-mcp and run `node scripts/verify-live.mjs` against the live endpoint https://digikala-mcp.mmdju.workers.dev/mcp. Report each check (handshake, release, tool list, search with details, error paths) as pass or fail. Verify that the tool count matches the 19 tools listed in the README.

  • Query your bank with a local Ollama model

    Bridge a local Ollama model to BankMCP so no AI vendor sees your transactions.

    View prompt
    Using the repo noskillish/bankmcp, run `npm run chat -- "<question>"` with the Ollama model qwen3:8b. Expected output: an answer that lists the balance for each linked account. Verify each per-account balance against the bank app before trusting any total.

  • Build a Dispute and Recovery Pack from a recount

    Turn recount findings into a Dispute and Recovery Pack, then record what the vendor actually conceded.

    View prompt
    Using the AgentMeasure repo, use the existing recount findings to run `agentmeasure dispute` and summarize the resulting pack. Then run `agentmeasure recovery` with the vendor concession, and verify that the recorded amount is kept separate from the original claim.