用AI实现一个想法自动适配18个内容平台

一个选题 → 写初稿 → 改公众号版 → 改知乎版 → 改小红书版 → 改头条版 → 改百家号版 → 发布

维度

手工模式

问题本质

方案

代表做法

优点

缺点

适用

# config/platform_profiles.yaml# 平台调性配置（工程化示例：把隐性的"平台风格"显性化、可评审、可版本化）# 字段含义与「灵犀写手」高级设置一一对应version: 1profiles:  wechat_mp:            # 公众号    style: 正式    audience: 行业从业者    length: 中篇          # 短篇≈800 / 中篇≈1500 / 长篇≈2500    humanize: false       # 正式文体建议关闭真人感增强    image_policy: ai_prompt    notes: "结构清晰、有小标题、避免口语化"  zhihu:                # 知乎    style: 理性    audience: 技术决策者    length: 长篇    humanize: false    image_policy: ai_prompt    notes: "逻辑链完整、有论据、可长"  xiaohongshu:          # 小红书    style: 活泼    audience: 泛用户    length: 短篇    humanize: true    image_policy: upload    notes: "短句、多emoji、强情绪开头"  toutiao:              # 今日头条    style: 通俗    audience: 大众读者    length: 中篇    humanize: true    image_policy: public    notes: "开头抓人、信息密度高"

# scripts/template_guard.pyfrom pathlib import Pathimport hashlibimport systry:    import yamlexcept ImportError:    print("请先安装 pyyaml: uv pip install pyyaml")    sys.exit(1) REQUIRED = {"style", "audience", "length", "humanize", "image_policy"}VALID_LENGTH = {"短篇", "中篇", "长篇"} def load_profiles(path: Path) -> dict:    with path.open(encoding="utf-8") as f:        return yaml.safe_load(f) def validate(cfg: dict) -> list:    errors = []    for name, p in (cfg.get("profiles") or {}).items():        missing = REQUIRED - set(p or {})        if missing:            errors.append(f"[{name}] 缺少字段: {sorted(missing)}")        if p and p.get("length") not in VALID_LENGTH:            errors.append(f"[{name}] length 非法: {p.get('length')}，应为 {VALID_LENGTH}")    return errors def fingerprint(path: Path) -> str:    return hashlib.sha256(path.read_bytes()).hexdigest()[:12] if __name__ == "__main__":    cfg_path = Path(__file__).resolve().parent.parent / "config" / "platform_profiles.yaml"    cfg = load_profiles(cfg_path)    errs = validate(cfg)    if errs:        print("配置校验失败：")        for e in errs:            print("  -", e)        sys.exit(1)    print(f"配置校验通过，共 {len(cfg['profiles'])} 个平台档案")    print(f"配置指纹(sha256[:12]): {fingerprint(cfg_path)}")    print("建议将此指纹记录到发布日志，便于回溯'某篇文章用的是哪版配置'")

# scripts/batch_plan.pyimport jsonfrom pathlib import Pathimport yaml TOPIC = "第一份工作不要只看工资"            # 对应「创作主题」SUPPLEMENT = "用我自己跳槽涨薪 40% 的经历"   # 对应「补充说明」 base = Path(__file__).resolve().parent.parentcfg = yaml.safe_load((base / "config" / "platform_profiles.yaml").read_text(encoding="utf-8"))targets = ["wechat_mp", "zhihu", "xiaohongshu", "toutiao"] plan = {    "topic": TOPIC,    "supplement": SUPPLEMENT,    "tasks": [        {            "platform": t,            "params": cfg["profiles"][t],            "status": "pending",       # pending -> generated -> reviewed -> published            "reviewer": None,          # 人工复核人，必填后才可 published        }        for t in targets    ],}out = base / "plan.json"out.write_text(json.dumps(plan, ensure_ascii=False, indent=2), encoding="utf-8")print(f"已生成任务清单 {out}，共 {len(plan['tasks'])} 个平台任务")for t in plan["tasks"]:    print(f"   - {t['platform']:12s} 风格={t['params']['style']:<4s} 长度={t['params']['length']}")

# scripts/preflight_check.pyimport refrom pathlib import Path PATTERNS = {    "数字/百分比": r"\d+(?:\.\d+)?\s*(?:%|％|倍|万|亿)",    "金额": r"[¥￥$]\s?\d[\d,\.]*",    "疑似人名": r"(?:张|王|李|赵|刘|陈|杨|黄|周|吴)[\u4e00-\u9fa5]{1,2}(?=[，。、：；\s])",    "绝对化表述": r"(?:第一|最|唯一|100%|绝对|必然)",    "AI腔模板句": r"(?:综上所述|总而言之|在当今|随着.{0,6}的发展|不难看出)",} def check(text: str) -> dict:    hits = {}    for name, pat in PATTERNS.items():        found = re.findall(pat, text)        if found:            hits[name] = found    return hits if __name__ == "__main__":    draft = Path(__file__).resolve().parent.parent / "draft.md"    if not draft.exists():        print("请把待发布草稿保存为 draft.md 后重试")        raise SystemExit(1)    text = draft.read_text(encoding="utf-8")    hits = check(text)    if not hits:        print("未命中高风险模式（仍需人工通读确认事实）")    else:        print("以下内容需人工逐条核对：")        for k, v in hits.items():            print(f"  [{k}] 共 {len(v)} 处 -> {v[:10]}")    print("\n提醒：脚本只做定位，事实/数据/人名必须人工核实后方可发布。")

# 依赖uv pip install pyyaml # 1) 校验平台调性配置python scripts/template_guard.py # 2) 生成多平台任务清单python scripts/batch_plan.py # 3) 在「灵犀写手」工作台按 plan.json 逐平台生成，导出后存为 draft.md # 4) 发布前预检python scripts/preflight_check.py

验收项

依据（原文）

判定方式

#

坑

原文结论

工程化应对