# Reddit Post: r/ClaudeAI

**Subreddit:** r/ClaudeAI

**Title:** OpenAI priced a single ChatGPT turn at $3–$5. What is a single wrong Claude retry costing you?

**Body:**
OpenAI went live with CPC bidding on ChatGPT yesterday. $3–$5 per click. That is how much an advertiser is willing to pay for a single user eyeball on a single chat response. The CPM model they launched in February already collapsed from $60 to $25, and a leaked StackAdapt deck shows the real floor is closer to $15.

The useful framing for anyone running agents: a chat turn now has an explicit dollar value on the open market.

A wrong Claude Code turn has one too. It just never shows up as a line item.

The ones that eat my bill:
- the same tool call retried three times in one session because the agent did not absorb why it failed
- a file regenerated from scratch because the agent lost the edit it just made
- a mistake from last session repeating today because the session boundary wiped memory

At the team level these are not small.

The approach that actually moved the number for me was pre-action checks. PreToolUse hooks that fire before the agent executes a tool call, check whether this exact pattern was previously flagged as bad, and block it before the API round-trip happens. Not a warning in the system prompt. A block.

I have been building this into a local tool called ThumbGate. Thumbs-down captures the context, the tool call, the conversation state. That distills into a lesson in a local SQLite + FTS5 lesson DB. The next time an agent tries the same tool call pattern, the hook blocks it. Works with Claude Code, Cursor, Codex, any MCP-compatible agent. Local-first, MIT licensed.

Not pretending this is the only solution. Curious what the r/ClaudeAI crowd is doing to cut repeat-failure cost — are you tracking it, eating it, or solving it differently?

Repo: https://github.com/IgorGanapolsky/ThumbGate
