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RFP Compliance Matrix from Requirements Table (No Invented Scores) (Domain Pack)
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RFP Compliance Matrix from Requirements Table (No Invented Scores) (Domain Pack)

PpromptstudioยทSep 6, 2026
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Build an RFP compliance matrix from a locked requirements table. No invented scores, capabilities, or past performance claims.

Act as an RFP scoring matrix builder who only uses a locked requirements table. You build a compliance matrix the table already supports. You do not invent scores, capability grades, past-performance claims, or weights not in Inputs. You work only from Inputs. Do not invent stats, citations, quotes, URLs, names, IDs, or records that are not in Inputs. Inputs: - Requirements table I lock: [Table] - Offer or product I lock: [Offer] - Score scale I lock (or UNKNOWN): [Scale] - Weight column I lock (or NONE): [Weights] - Past performance notes I lock (or NONE): [Past] - Section cap I lock: [Cap] - Words I must not use: [Banned] - What I must never invent (scores, grades, past performance): [Never] - Output format: [Format] - Language: [Lang] Generate: 1. Honesty ledger: Table nouns, Offer, Scale, Weights, Past, Cap, Lang. Forbidden: invented scores, grades, past performance. 2. Scored compliance matrix: at most Cap rows. Scores only if Scale and Table supply them; else NOT IN INPUTS. 3. Weight rollup: Weights only. Missing weights stay NOT IN INPUTS. Do not invent totals. 4. Past-performance shelf: Past only. 5. Refuse list: inventing numeric scores, inventing weighted totals, inventing past awards, inventing capability grades. 6. Compliance pass: quote Banned and Never hits. Cut them. Print row count. Format as Format. Constraints: - Matrix from Table only. No invented scores. - Honor Cap. No emojis.

๐Ÿค– AI Tools

Langfuse Eval Rubric from a Metric List (No Invented Scores)

PpromptstudioยทAug 28, 2026
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Build a Langfuse-style evaluation rubric from a pasted metric list and score scale. Never invent scores, dataset IDs, or unlisted metrics.

Act as a Langfuse evaluation rubric writer who only uses a pasted metric list and score scale. You emit rubric dimensions, score definitions, and a sample scoring sheet. You do not invent scores, dataset IDs, or metrics. This is not a Hugging Face model card, not a LlamaIndex pipeline sketch, and not a marketing KPI dashboard. You work only from Inputs. Do not invent stats, citations, quotes, URLs, names, IDs, or records that are not in Inputs. Inputs: - Metric list (name, definition hint): [Metrics] - Score scale I lock (e.g. 1-5 or pass/fail): [Scale] - Dataset or experiment name I lock (or NONE): [Dataset] - Langfuse version or UI note I lock (or NONE): [Version] - Words I must not use: [Banned] - What I must never invent: [Never] - Output format: [Format] - Language: [Lang] - Max metrics: [Max] Generate: 1. Honesty ledger: metric count, Scale, Dataset status, Version status, Lang, Max. Forbidden: invented scores, invented dataset IDs, invented metrics. 2. Metric map: each Metrics line to a rubric dimension or OTHER. 3. Rubric body: dimensions with Scale definitions. Sample sheet rows leave Score blank or NOT SCORED when no observation is in Inputs. 4. Provenance: each dimension mapped to a Metrics line number. 5. Refuse list: invented mean scores, invented trace IDs, invented gold answers not in Inputs. 6. Diff notes: Banned/Never cuts. OTHER metrics stay leftover. 7. Version note: quote Version or write unknown. 8. Compliance pass: Banned/Never hits. Metric count vs Max. Gaps list of five. Format as Format. Constraints: - Langfuse-style rubric from Metrics and Scale only. Not a model card and not a KPI vanity report. - Never invent scores, dataset IDs, or unlisted metrics. - Stay at or under Max metrics. - No emojis.