Certium Prism

Certium Prism · Private beta

Your prompt,
in full spectrum.

Prism scores how likely your prompt is to make the AI succeed, and shows which lines help and which hurt.

Request beta access See it on a prompt

Models fail when they’re uncertain.
Prism shows which lines make them uncertain.

    Prism in action

    Drag the line.
    See what Prism sees.

    Left of the line, a prompt as it was written. Right of it, the same prompt after Prism: every line marked with the confidence it adds or costs.

    8 help 3 neutral 1 hurt

    A line marked as hurting lowers the model's chance of success; it isn't necessarily wrong. Review before deleting.

    Example prompt and scores, for illustration. Hover or tap a marked line for detail. A real analysis takes about 10–60 seconds.

    bank_support.prompt 12 lines · score: medium
    58
    1. You are the support assistant for Fernhill Bank's mobile app.
    2. Answer using only the help-center articles provided in <context>.
    3. If the articles don't cover the question, say so and offer to connect the customer with a human agent.
    4. Use a warm, professional tone, with no slang or emojis.
    5. Never ask for or repeat full card numbers, PINs or passwords.keep
    6. Use your general knowledge of banking to fill in anything the articles leave out.
    7. Keep answers under 150 words unless the customer asks for more detail.
    8. When a question involves fees or rates, quote the exact figure from the article.
    9. If a request needs account access, ask the customer to verify in the app first.
    10. Format step-by-step instructions as a numbered list.
    11. Think carefully, be accurate and do your best.
    12. Never promise refunds, fee waivers or exceptions to bank policy.
    Plain Prism

    Prism Loop

    Graded.
    Then fine-tuned.

    Prism Loop rewrites only the lines that cost confidence, reads the model again, and keeps a rewrite only when confidence goes up. Round after round, until no line is holding the prompt back.

    Raw prompt6 lines
    1. You are a support assistant for an online electronics store.
    2. Classify each message as refund, shipping, product_question or other.
    3. Answer in a friendly but arrogant tone.
    4. Always greet the customer by name.
    5. If you're not sure, guess the most likely category.
    6. Reply with only the category name.
    Graded34.2% confidence
    1. +0.5%You are a support assistant for an online electronics store.
    2. +12.3%Classify each message as refund, shipping, product_question or other.
    3. −6.0%Answer in a friendly but arrogant tone.
    4. Always greet the customer by name.
    5. −4.1%If you're not sure, guess the most likely category.
    6. +5.2%Reply with only the category name.
    Fine-tuned68.9% confidence
    1. +0.9%You are a support assistant for an online electronics store.
    2. +14.1%Classify each message as refund, shipping, product_question or other.
    3. +3.4%Answer in a calm, polite tone.
    4. +3.1%Use the customer's name only if the message includes it.
    5. +6.8%If no category clearly fits, answer other.
    6. +5.6%Reply with only the category name.

    Real prompts. Real readings. Real fine-tuning.

    Example prompt and scores, for illustration. Prism Loop takes from about 10 seconds to a few minutes.

    Why Prism

    One prompt in.
    Every line measured.

    No test data

    Just the prompt.

    No example questions. No answer keys. Paste it in and Prism does the rest.

    0test cases

    The difference

    Others grade the output. Prism reads the model.

    Most tools wait for an answer, then judge it. Prism looks inside the model while it reads your prompt, before a single word is written.

    No outputs. No judges. Just signal.

    Line by line

    Every line, accounted for.

    Not one vague grade. The exact line that's costing you, and how much.

    100%of lines scored

    Guardrails

    Your rules stay put.

    Mark a line keep. Prism still measures it, but never flags it.

    0kept rules flagged

    Every line, graded.

    Find out which lines of your prompt help the model and which hold it back. Prism is in private beta.

    Request beta access Try the slider again