A developer who spent a decade building software admits he's been guessing at pricing. Now he's using Claude to fix that.
Nasrul Hazim Bin Mohamad, creator of G8Stack (an API management platform built on Kong Gateway), released claude-sales — a set of Claude Code commands that generates pricing breakdowns, partner margin calculations, and quotation templates.
The tool emerged from a specific pain point: pricing G8Stack. "I needed to figure out base license costs, add-on pricing, partner channels, government quotations," he wrote. "I ended up having long conversations with Claude about all of this."
The framework forces developers to answer questions they typically skip: What's the base price and what does it include? How do you structure add-ons? What margins apply to referrers versus resellers versus affiliates? What does a full implementation project cost?
The timing matters. Claude API pricing dropped significantly in January 2026 — Claude Haiku 4.5 now costs $1.00 per million input tokens, down from previous versions, while Sonnet 4.5 remains at $3.00/$15.00 input/output. That 66% reduction for Opus 4.5 makes building developer-facing financial tools more economically viable.
Claude Code, which gained full terminal integration and higher usage quotas in early 2026, is being deployed for business logic tasks beyond pure coding. The claude-sales project exemplifies this shift — using AI infrastructure not for content generation, but for financial modeling and pricing architecture.
The real value isn't the commands. It's the structured thinking. Developers fill out a product-config-template.md file defining base prices, add-ons, partner margins, and project packages. Once configured, slash commands like /get-pricing via reseller or /get-quotation enterprise generate context-specific outputs.
This enables basic financial planning: "How many direct sales do I need this year to hit RM 300,000?" becomes RM 300,000 ÷ RM 25,000 = 12 direct sales. Not complex math — but math most developers never do because they never structured their pricing.
Installation takes one command:
curl -fsSL https://raw.githubusercontent.com/nasrulhazim/claude-sales/main/install.sh | bash
The broader pattern: Claude's pay-as-you-go API model (no monthly minimums) appeals to cost-conscious development teams. Startups like Copy.ai cite Claude's lower costs versus GPT-4 as a decisive adoption factor. For enterprise SaaS teams, Claude powers workflows including customer support automation and code generation — the exact domain where pricing optimization matters.
The skeptical view: Integrating AI into pricing and financial planning requires substantial engineering effort. Developers may prefer simpler, domain-specific tools rather than building custom solutions atop Claude APIs. And the premise that "developers are bad at pricing" predates AI — this reflects broader gaps in founder financial literacy, not AI capability.
What's clear: As API economics improve, non-traditional use cases (financial modeling, pricing architecture) become viable beyond content and code generation. The question is whether developers will adopt these tools or continue guessing.
We'll see.