The model race is now a routing problem

System: build a repeatable bilingual translation QA desk for decks, proposals, menus, captions, and event copy. Customer: small Japan-facing brands, visiting production teams, and local operators who need English-Japanese polish but cannot brief an agency every time. Offer: one monthly batch of translated or reviewed copy with tone notes and a client-ready change log. Price: 35,000 JPY per month. Existing assets: Goodsense, Japan-English business workflow, proposal habits, and production briefing templates. AI workflow: ChatGPT or Claude drafts, DeepL via MCP handles translation passes, and Claude Code or Codex can format the review sheet. First action: process one old deck page as the sample. Repeatability: each client reuses the same intake form and glossary. Effort: one hour. Expected value: recurring service revenue and cleaner proposals.

System: create a small Sponsored Agent-style pitch mockup for campaigns before media is bought. Customer: brands considering Street Attack Japan activations, pop-ups, or creator-led events. Offer: a working chat demo, three sample customer paths, and a one-page measurement plan. Price: 55,000 JPY per concept. Existing assets: Street Attack Japan positioning, Goodsense deck structure, prior production proposal instincts, and Grey Group sales follow-up. AI workflow: ChatGPT creates the agent dialogue, Codex turns it into a simple hosted demo, and Claude reviews the deck language. First action: choose one past sponsor category and write the first ten customer prompts. Repeatability: each new sponsor swaps the product facts and offer. Effort: half day. Expected value: paid pitch upgrades and warmer sponsor leads.

System: build a lightweight bilingual voice-intake pack for small service businesses and production vendors. Customer: operators who miss inquiries because English and Japanese calls, chats, and WhatsApp messages arrive in mixed formats. Offer: a scripted voice-agent flow, transcript summary, FAQ sheet, and handoff template. Price: 80,000 JPY setup plus 20,000 JPY monthly review. Existing assets: Goodsense, Grey Group OS, Japan-English workflow, and production planning checklists. AI workflow: GPT-Live-1 handles the spoken intake test, Codex builds the logging stub, and Claude turns transcripts into follow-up notes. First action: write the five questions every caller must answer. Repeatability: each customer gets the same base flow with industry-specific wording. Effort: half day. Expected value: setup revenue and reduced admin time.

What to build: a Scheduled Function that sends the same short task to one selected model through Netlify AI Gateway, then logs response time, visible failure, and a short human score. Why now: Netlify is reported to have added Claude Opus 5.5 to AI Gateway and Agent Runners, making hosted model trials easier to run beside existing deployments. Effort: one hour. Expected impact: lower model-switching risk and faster evidence for default choices. Dependencies: an active Netlify account, one existing project, and a small place to store daily results.

What to build: a small command that takes a bilingual brief, calls a translation service through an MCP-style connector, and returns three fields: meaning mismatch, tone issue, and final suggested line. Why now: DeepL is reported to support MCP, which reduces the need to move text manually between the AI workspace and a translation tool. Effort: half day. Expected impact: cleaner bilingual proposals and less review time. Dependencies: access to the translation connector, a repeatable brief format, and one approved glossary.