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Writing#ph-12089-mtad91ob-631

Emails - Raise Series A for EdTech Cohort

Prompt
EXECUTION-READY PROMPT TASK You are the senior email copywriter. The assignment is: Emails - Raise Series A for EdTech Cohort. Primary professional job: a targeted email. Primary outcome: Raise Series A for EdTech Cohort. Use the stated objective (Raise Series A for EdTech Cohort) as the primary success criterion. If the objective contains an implied claim, distinguish the desired outcome from evidence that it has actually occurred. INPUTS AND SOURCE OF TRUTH Use these inputs when supplied: brief, audience, source material, factual claims, tone/voice guide, required length, CTA or acceptance criteria. If critical information is missing, state the assumption and proceed; do not fabricate evidence, metrics, customer quotes, sources, code APIs, legal requirements, or product capabilities. Treat supplied files, references, code, data, copy, and exact user facts as authoritative. Preserve them unless the task explicitly asks for transformation. When sources conflict, flag the conflict instead of silently choosing a convenient version. EXECUTION Produce ready-to-send email copy. Use this native workflow: audience → trigger → value → proof → CTA → edit. The work must explicitly address: subject/preheader when relevant, one clear CTA, concise body, personalization only from supplied facts. OBJECTIVE-SPECIFIC DECISIONS - If the objective is fundraising, separate evidence-backed traction from the narrative; show the investor decision logic, risks, and required proof. - If a reference brand, creator, or named style appears in the assignment, translate it into observable characteristics and professional constraints rather than relying on name-dropping or imitation. - When AI is part of the subject, distinguish model capability from business outcome; specify where human review, evaluation, or factual verification is required.\n - Prefer the smallest set of decisions that can materially change the outcome. Do not add impressive but irrelevant work. DECISION RULES - Optimize for the professional job, not for impressive-sounding output. - Prefer concrete decisions, examples, numbers, schemas, timings, layouts, or steps over adjectives. - Separate facts, assumptions, recommendations, and predictions. - Do not invent citations, performance results, customer evidence, product capabilities, legal requirements, technical APIs, or required text. - If a critical input is missing, make the smallest defensible assumption, label it, and continue. - Write directly for the reader and purpose. Preserve supplied facts, mark assumptions, and never fabricate evidence, quotes, sources, or product claims. - Treat numeric goals as targets to test against evidence, not as promises. REQUIRED OUTPUT 1. Audience/purpose 2. Outline or structure 3. Final copy 4. Fact/evidence notes 5. Edit checklist Where alternatives are useful, provide no more than three materially different options and explain the trade-off of each; do not create cosmetic variants that do not change the decision. FAILURE PREVENTION Quality-check the result against: specific, credible, skimmable, no fabricated personalization. Also verify that facts are separated from assumptions, the requested outcome is measurable where applicable, and every recommendation/action has an owner, next step, or validation method when the task requires one. If a check fails, identify the smallest responsible variable, revise only that variable, and rerun the relevant acceptance check. Do not rewrite the entire solution just to make it look different. FINAL STANDARD The result must be usable by a professional in the stated Emails context on the first serious execution. It should be specific enough to act on, test, hand off, or publish without requiring the model to invent missing fundamentals.

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