Logging and receipts answer different questions. Logging answers 'what did the system record?' A receipt answers 'can you prove this action happened and wasn't changed?' For AI accountability, only the second question matters in an audit.
The honest verdict
Logging is essential infrastructure and isn't going anywhere. But it was never designed to be evidence — it's mutable, local, and controlled by the party being audited. AI receipts are purpose-built as the accountability layer: signed, chained, anchored, and publicly verifiable. Use both; don't confuse one for the other.
| Capability | iTechSmart | logging |
|---|---|---|
| Purpose | Evidence — prove an action happened as claimed | Records — capture what the app emits |
| Mutability | Tamper-evident; edits break the chain | Freely editable before or after indexing |
| Verifiable by outsiders | Yes — public verifier, no account | No — internal to the operator |
| Proof of time | Bitcoin-anchored | Local timestamp |
| Volume & granularity | One record per meaningful action | High-volume, fine-grained trace data |
| Debugging value | Not the job | Exactly the job |
We'd rather you pick correctly than pick us. These are the real cases where we'd point you elsewhere.
You need fine-grained, high-volume trace data for debugging and performance analysis — that's logging.
Your immediate problem is observability, not evidence.
No. Logs are mutable and controlled by the party being audited. AI receipts are tamper-evident and independently verifiable — the difference between a claim and proof.
The free tier seals real receipts on real incidents. Compare evidence, not brochures.
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