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2-Week Report: Making AI Videos as a Complete Beginner

This isn't an "AI video tutorial." It's a real project's ledger review.

The project: Silent Era · The Guardian Volume 1 trailer. 50 chapters complete. Trailer plan: 5 min 10 sec, 44 shots, 82 first-frame / animation production units. Over two weeks, I primarily used Codex + gpt-5.5 for production planning, scripting, and batch processing, with switches to Claude Code + Claude Opus 4.7, opencode + MiMo, Qoder, and other tools.

Spoiler: the most expensive part of AIGC video isn't a single generation — it's rework, waiting, failure retries, and character consistency collapse.

Public Ledger

ItemData
Source NovelVolume 1, 50 chapters
Trailer Plan5 min 10 sec
Shots44
First-Frame / Animation PUs82
Current Production State39 approved + 41 merged_to_i2v + 1 cut_from_edit + 1 revise
6 Review Sessions~161 hours cumulative
User Prompts137
Assistant Messages1,153
Tool Calls2,541
Tool Errors211
Total Cost¥2,234.67 (incl. I2V estimate, as of 2026-05-22)
Agent Token Total~1 billion tokens (Codex 573M + Claude Opus ~421M)

Why Costs Add Up

The ¥2,234.67 doesn't reflect a single smooth production pass. It reflects:

  • Hundreds of failed first-frame generations (only 47.6% pass rate)
  • I2V re-renders after motion artifacts in initial runs
  • Agent tool-call errors (211 errors in 2,541 calls — an 8.3% error rate)
  • Multi-agent context switching overhead
  • The hidden cost of waiting: idle time between tool calls, model round-trips

Key Lessons After 2 Weeks

  1. Anchor locking is non-negotiable. Character consistency without locked anchors is expensive guesswork.
  2. Preflight before I2V. A first-frame that "looks good" may still fail I2V in specific, predictable ways. The 12-point gate catches them.
  3. Candidate caps are essential. Without a hard ceiling, "just one more try" becomes a money pit.
  4. Cost tracking must start day one. By day 14, you've forgotten half of what you spent.

Full Chinese original with detailed session breakdowns available at 我用AI Agent做视频的2周踩坑报告

AIGC workflow notes from a real IP production.