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Solana and AI

Where and how is Solana intersecting with AI?

Intro to AI on Solana

Context​

LLMs​

AI Agents​

Top internet natives powered by Solana?

When To Use​

The core pattern: the SVM is a settlement layer for autonomous agents. High throughput and sub-cent fees let an agent transact per-action. Use SVM when an AI agent must pay, receive, or verify value on-chain at machine tempo — not when a slow, human-scale ledger would do.

Apply it three ways:

  • Agent payments — agents settle micro-transactions directly, no card rail in the loop.
  • On-chain provenance — write model outputs or decisions to chain so they are verifiable later.
  • Compute markets — agents rent decentralised compute and settle in the same layer.

Checks / signals: measure per-action settlement cost, confirmation latency, and whether any agent reads the on-chain record downstream. If no agent verifies the record, the chain is exhaust, not proof.

Failure mode: putting an agent on-chain for narrative rather than need — the anti-pattern is paying settlement overhead for value that never leaves one trust boundary.

Questions​

Which engineering decision related to this topic has the highest switching cost once made — and how do you make it well with incomplete information?

  • At what scale or complexity level does the right answer to this topic change significantly?
  • How does the introduction of AI-native workflows change the conventional wisdom about this technology?
  • Which anti-pattern in this area is most commonly introduced by developers who know enough to be dangerous but not enough to know what they don't know?

Changes my mind: An agent use case where an off-chain ledger settles cheaper and faster than the SVM — showing on-chain settlement is not the default for autonomous agents.

Next question: For a given agent workflow, does any downstream party read the on-chain record, or is it write-only exhaust?