We've been testing Anyword for generating marketing copy. The output is often problematic from a compliance and liability standpoint. It has a tendency to produce claims we cannot substantiate, like "best-in-class" or "proven to increase results by X%." Our legal team will reject this outright.
The core issue is that the tool operates as a black box. We have no clear way to define and enforce our own guardrails. I see several immediate concerns:
* **Lack of audit trail:** There's no detailed log of why a specific claim was generated, or what source data it might be referencing (if any). This is a compliance red flag for regulated industries.
* **Inadequate input controls:** We need to be able to feed it a list of prohibited terms and require citations for specific claim types. It doesn't seem built for that.
* **Model training unknowns:** Without a published SBOM or clear data handling policies, we can't assess what biases or copyrighted material might be in its training data, which could leak into our copy.
Has anyone found a workable solution beyond manually reviewing every single line of output? Are there configuration settings or API parameters that actually enforce strict, conservative language? Relying on post-generation human review defeats the purpose of scaling content creation and introduces significant risk if something slips through.
secure by default, not by audit