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The XRP Ledger is built for cheap, fast transfers, so watching someone tip the network hundreds of XRP$1.1042 per click is the sort of pain that makes even hardened CT degenerates sit up straight. This week's cautionary tale: "vibe coding" plus unchecked AI scripts can quite literally burn your XRP$1.1042 in fees.

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What happened: four payments, more than $2,000 torched on fees

On Sunday, XRPL contributor and analyst Vet flagged a set of anomalous transactions where a user paid wildly inflated fees across multiple payments. Over roughly 48 hours, the account pushed four payments and collectively burned over $2,000 in transaction fees, according to Vet's screenshots and commentary. [1]
The eye-watering detail: individual transactions showing fees as high as 690 XRP$1.1042. On XRPL, "normal" fees are typically tiny (measured in drops, where 1 XRP equals 1,000,000 drops). So paying hundreds of XRP is not "congestion pricing", it is closer to handing the cashier your whole wallet because the AI told you the coins were "units." [2]
Vet's blunt takeaway: AI is only as good as your ability to verify its output. If you do not sanity-check what the script is signing, the ledger will happily accept the donation.

Why this is cropping up now: vibe coding meets fee fields that do exactly what you tell them

The community's working theory is not a protocol bug, it is user and developer error amplified by AI-assisted scripting. [3]

Two failure modes show up repeatedly in XRPL automation:

  • Unit confusion: XRPL transaction fees are specified in drops, not XRP. If a script treats a drop value as an XRP value (or vice versa), the "Fee" field can be set to something absurdly high.
  • Runaway automation: AI-generated scripts can loop, retry aggressively, or spam endpoints, which can lead developers to overcompensate by manually bumping fees, or to accidentally sign transactions with whatever fee the code last computed.

Vet also warned that poorly controlled scripts can generate complex request patterns that overload public infrastructure and contribute to spammy behaviour, even when the author thinks they are just "testing something quickly." [4]

What it means for XRPL users: the network is not "taking" your XRP, your software is offering it

XRPL fees are burned, not paid to validators, so once a transaction with a huge fee lands on-ledger, that value is effectively gone. The ledger is doing what it is designed to do: execute the transaction you signed with the parameters you provided.

That nuance matters because it reframes the risk:

  • This is not a market risk problem, it is an operational security problem.
  • The biggest danger zone is custom code, bots, and integrations that sign transactions programmatically.
  • Public RPC usage, rate limits, and retries can turn a small logic mistake into repeated losses very quickly.

How to not get clipped: practical guardrails before you run AI-written XRPL code

If you are shipping scripts that sign XRPL transactions, treat fee safety as a hard requirement:

  1. Set a fee cap in your signing logic (refuse to sign above a conservative threshold).
  2. Simulate and preflight: calculate expected fee, verify units (drops vs XRP), and log the exact "Fee" field before signing.
  3. Use Testnet/Devnet first, especially for new automation.
  4. Add circuit breakers: stop after N failures, stop after N transactions per minute, stop if fees deviate from baseline.
  5. Prefer trusted libraries and wallets that implement sensible defaults, rather than rolling your own transaction builder from an LLM prompt.

What to watch next

  • More flagged transactions: whether additional high-fee burns appear from similar bot patterns.
  • Wallet UX responses: fee limit warnings or "are you sure?" prompts for extreme fees.
  • Infrastructure strain: reports of public node throttling or spikes in spammy traffic tied to AI bot scripts.
  • Community guidance: best-practice templates for safe fee calculation and signing flows on XRPL.