Running WavexAI as a service, AI Code Tools

WavexAI Agency Implementation, Productized Code Generation Services

Learn how to build and sell fixed-price code generation and debugging services using WavexAI's unlimited API calls and OpenAI-compatible endpoints. This course covers integrating WavexAI into client workflows, setting up automated code delivery pipelines, and structuring retainer packages around the 32K context window for handling large codebases without token surprises.

Open the decision record for WavexAI

What does running WavexAI for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Vendor cost basis is tiered, with a free tier offering limited chats and API requests plus paid and enterprise tiers adding unlimited usage and dedicated instances; exact published tier prices are not included in the extracted data, so the agency must confirm current WavexAI pricing in the account before quoting client work.
Time to first value
Not published, setup_complexity is rated medium and time_to_value is listed as hours, but no explicit time-investment figure is supplied.
Payback
Not modeled, client price, labor, usage, overhead, and expected volume have not been supplied.
Guided implementation
8 hours

Is WavexAI worth running as a client service?

The evidence supports a niche managed service for development-focused agencies that want predictable flat-cost AI inference with unlimited tokens and OpenAI-standard endpoint compatibility. What remains unknown is the actual paid tier pricing, the agency's own delivery cost structure, and whether the limited integration ecosystem and coding-only focus will constrain client demand.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • WavexAI account with API key generated in Settings
  • OpenCode terminal or IDE integration configured via opencode.json
  • OpenAI-compatible client tooling pointed at /v1/chat/completions
  • HTTP client capable of handling SSE streaming responses
  • Conversation message payload structures for chat completions calls

People and inputs

  • Documentation review of WavexAI's OpenAI-compatible REST endpoints
  • Internal walkthrough of the programming-focused chatbot and its coding-tuned behavior
  • Configuration notes covering streaming versus non-streaming chat completion modes
  • Client-facing onboarding checklist for OpenCode baseURL and Bearer token setup

Included with the course

7 working documents for delivering this service.

  • WavexAI Client Onboarding Checklistchecklist
  • API Integration Setup Guide for OpenCodeguide
  • Fixed-Price Code Generation Service Menutemplate
  • Context Window Optimization Worksheetworksheet
  • Monthly Retainer Delivery SOPsop
  • WavexAI Pricing Tier Comparison for Clientstemplate
  • Billing Transparency Proposal Templatetemplate

Listed by name. These documents are not yet published as individual downloads.