Consumer-rights AI game goes B2B: Claude Code workflow with Opus 4.7 and Haiku 4.5

A Reddit post details the transformation of a viral consumer-rights AI game into a B2B product called socratize.io (formerly fixai.dev). The core loop remains: users argue with an AI that refuses to budge. Companies write custom scenarios (sales objection, churn call, compliance check) and their team practices against the AI customer.
Tech Stack
- Live chat bot: Claude Haiku 4.5 — cheap, fast, and stubborn with the right prompt.
- Backend: Written with Claude Code, driven by Opus 4.7 for heavy lifting (refactors, migrations, retries, prompt-injection hardening).
Claude Code Workflow Details
The developer shared a precise workflow to avoid agent confusion:
- CLAUDE.md at repo root: Contains hard invariants only — e.g.,
auth is B2B-only,schema changes go through migrations,all email through one service. Claude reads this every session and stops violating them. - SPLIT_NOTES.md: A separate file for plans —
what we're going to change. Splitting the two prevents the agent from confusing constraints with TODOs. - Multi-file refactors: Use Opus 4.7 to propose a diff plan first, approve it, then run edits. The developer notes this is the first tier where the plan and the patch reliably match.
Target Audience
Developers building AI-powered conversational tools or using Claude Code for production apps — especially those managing prompt-injection risks and complex refactor workflows.
📖 Read the full source: r/ClaudeAI
👀 See Also

Episode 9 of Building an AI-Run Store: Multi-Agent Coordination for Claude Code Agents
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Developer Reports Rapid Prototyping with Claude AI in Three Evenings
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Reddit user shares Claude Code setup for portfolio projects
A developer describes their transition from a manual Claude.ai workflow to a structured Claude Code approach using file-based memory and CLAUDE.md files for planning and documentation.

Claude Haiku 4.5 bug-fixing effectiveness depends heavily on prompt quality, user testing shows
Testing with 380 users on real production bugs shows Claude Haiku 4.5 can effectively fix bugs when given proper context, but results vary significantly based on how well users describe the problem.