BOTSHELF VAMPIRE

BSV / FIRST RUN

Your first run: from a problem to a usable result

No sign-up, free. Pick one problem, open the linked Lab already on this site, run the sample, see the result and export it. No invented metrics.

The four steps

  1. Choose a problem
  2. Open the linked Lab
  3. Run the sample and export
  4. Take the next step

Three concrete walkthroughs

Button names match the Lab UI. Inputs stay in your browser.

Walkthrough 1

Not sure how big a position your stop allows

  1. Press “Open this Lab” on the card
  2. In the Lab, press “Load example”
  3. Change equity, risk %, entry and stop to your numbers
  4. Check units and R-multiple, then copy or save the CSV

Result — Position size and R-multiple plan (education only — not advice)

Open this LabNext: browse trading tools →

Walkthrough 2

Check a CSV for missing values and mixed types

  1. Open the Data Lab
  2. Press “Reload sample” (or paste your own CSV)
  3. Press “Profile”
  4. Review missing / unique / type per column, then export the profile CSV

Result — Per-column profile CSV

Open this LabNext: Data field recipes →

Walkthrough 3

Will my prompt or context pack fit the model window?

  1. Open the AI Lab
  2. Paste your text, choose a context window and reply reserve
  3. Press “Estimate” (nothing is sent — runs in your browser)
  4. Check estimated tokens vs. input budget, then export CSV

Result — Estimated tokens and input-budget CSV

Open this LabNext: browse AI agents →

More problem cards (same Labs as the home page)

  • ProblemNot sure how big a position your stop allows

    Run
    Press “Load example”, then enter your balance, risk %, entry and stop
    Result
    Position size and R-multiple plan → copy or save as CSV

    Open this LabNext: Browse trading tools →

  • ProblemCheck a CSV for missing values and mixed types

    Run
    Paste a CSV and press “Profile” (or try “Reload sample” first)
    Result
    Missing / unique counts and inferred type per column → profile CSV

    Open this LabNext: Data field recipes →

  • ProblemWill my prompt or context pack fit the model window?

    Run
    Paste your text, choose a window and reply reserve, press “Estimate”
    Result
    Estimated tokens vs. input budget → CSV (runs in your browser, nothing sent)

    Open this LabNext: Browse AI agents →

  • ProblemCan a 2-joint arm reach a point, and at what joint angles?

    Run
    Press “Load example”, then change link lengths and target
    Result
    Joint angles and manipulability → save as CSV

    Open this LabNext: Robotics field →

  • ProblemSee flooded areas by satellite even under cloud

    Run
    Press “Load cloudy flood example”, then set your own conditions
    Result
    Comparison of public satellite data and a workflow → copy workflow

    Open this LabNext: Space field →

  • ProblemIs my analysis recorded well enough for someone to reproduce?

    Run
    Fill in the fields and press “Build record” (an example is available)
    Result
    Missing items flagged and a reproducibility record → copy record

    Open this LabNext: Biotech field →

Healthcare, quantum and request-draft Labs: all Labs