Running Hy as a service, AI Code Tools

Hy Agency Implementation, Long-Context AI for Code & Document Delivery

Learn to architect Hy into client workflows for multi-file code review, document synthesis, and R&D coordination. This course teaches agencies how to structure prompts around Hy's 1M-token context window, build retainer pricing models around cached tokens, and deliver faster turnaround on complex engineering and operations projects.

Open the decision record for Hy

What it commits you to

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

Monthly tool cost
Usage-based pricing; no setup fees mentioned. Initial investment includes technical staff time for integration.
Time to first value
Not published
Payback
Not modeled
Guided implementation
8 hours

Assessment

Hy offers strong long-context capabilities but requires technical integration. Evidence supports its functionality; financial viability depends on agency pricing and 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

  • API access to Tencent Cloud
  • API access to OpenRouter
  • GitHub account for open-source integration
  • HuggingFace account for model deployment

People and inputs

  • Technical staff for API integration
  • Knowledge of prompt engineering for long-context tasks
  • Understanding of software engineering and document processing
  • Access to multi-file document examples for testing

Included with the course

7 working documents for delivering this service.

  • Hy API Integration Checklist for Agency Workflowschecklist
  • Multi-File Code Review Prompt Templatetemplate
  • Cached Token Cost Calculator for Client Retainersworksheet
  • Document Synthesis SOP: Email-to-Report Automationsop
  • Hy vs. Standard LLM Comparison for Long-Context Tasksguide
  • Client Onboarding Guide: Preparing Codebases for Hy Analysisguide
  • Retainer Pricing Model: Input Tokens, Output Tokens, and Caching Strategyworksheet

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