Classify · Transform · Writing & Content

Classify email subject lines and assign the right precursor

A pure function precursor_for(intent) that maps an email intent code to the canonical subject-line precursor string, graded on hidden intent->precursor cases.

You receive: A pure function: precursor_for(intent: string) -> string, where intent is one of {decision, action, feedback, fyi} and the output is the exact canonical precursor with trailing colon.

Part of Pitch Investors

What's verified: STUD verifies the function returns the exact canonical precursor string for each intent code and handles the unknown branch as configured, across hidden cases. STUD does NOT judge whether the subject line is good, whether the chosen intent matches the email's real purpose, or anything about the email body.

def precursor_for(inp):
    def _b(v):
        return v is True or str(v).strip().lower() in ("true", "yes", "y", "1")
    MAP = {"decision": "Decision:", "action": "Action Required:", "feedback": "Feedback:", "fyi": "For Your Information:"}
    s = str(inp["intent_to_precursor"]).strip()
    if _b(inp.get("case_insensitive_intent")):
        s = s.lower()
    if s in MAP:
        return {"precursor": MAP[s]}
    return {"precursor": "" if str(inp.get("unknown_behavior")).strip().lower() == "empty" else "INVALID"}