Sonnet 5 review: I ran 64 generations to find out if it's worth it
How I AI
Jun 30
Sonnet 5 review: I ran 64 generations to find out if it's worth it
Sonnet 5 review: I ran 64 generations to find out if it's worth it

How I AI
Jun 30
Unprocessed episode, you can be the first!
Shownote
Shownote
I’ve been testing every major frontier model release since the start of the
year, and when Anthropic dropped Sonnet 5, I wanted more than a vibe check. I
got tired of one-off tests I couldn’t repeat or compare over time, so I built
something better: the How I AI Bench, a repeatable eval harness I constructed
live using Claude Code while recording this episode. I ran Sonnet 5 blind
against four other frontier models (Sonnet 4.6, Opus 4.8, GPT-5.5, and Gemini 3
Pro) across PRD quality, prototype generation, agentic task completion, and
agent personality. The results were not what I expected.
What you’ll learn:
1. What Anthropic claims Sonnet 5 improves over Sonnet 4.6, and where the
benchmark data actually backs that up
2. How I built the How I AI Bench in under 45 minutes using Claude Code,
starting from my own stored session history
3. Why I combined human vibe scoring (70%) with LLM as judge scoring (30%)
instead of trusting either alone
4. How to set up a local HTML scoring page so you can rate AI outputs on gut
feel and export those scores as JSON
5. Which model I recommend for PRDs, which for complex prototypes, and which
for chatting with an agent daily
—
Brought to you by:
Runway [https://runwayml.com/howIAI]—The creative AI platform for images, video
and more
Hyperagent [https://hyperagent.com/howiai]—Deploy fleets of agents that handle
real work
—
In this episode, we cover:
(00:00) Sonnet 5 is out
(01:55) What Anthropic claims
(04:02) Why I’m done with one-off vibe checks
(05:05) Building the How I AI Bench live with Claude Code
(07:42) The scoring system
(10:43) Agent voice eval
(11:57) Quick recap
(13:58) Results: The How I AI index leaderboard
(21:21) What I’m improving for the next run
(22:16) Generating a Claire-weighted index
(23:53) Model-by-task recommendations
—
Tools referenced:
• Claude Sonnet 5: https://www.anthropic.com/news/claude-sonnet-5
[https://www.anthropic.com/news/claude-sonnet-5]
• Claude Opus 4.8: https://www.anthropic.com/news/claude-opus-4-8
[https://www.anthropic.com/news/claude-opus-4-8]
• GPT-5.5 (OpenAI): https://openai.com/index/introducing-gpt-5-5/
[https://openai.com/index/introducing-gpt-5-5/]
• Gemini 3 Pro (Google DeepMind): https://deepmind.google/models/gemini/pro/
[https://deepmind.google/models/gemini/pro/]
• Cursor: https://www.cursor.com/ [https://www.cursor.com/]
—
Other references:
• SWE-bench Pro (agentic coding benchmark referenced): https://www.swebench.com/
[https://www.swebench.com/]
—
Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/ [https://www.chatprd.ai/]
Website: https://clairevo.com/ [https://clairevo.com/]
LinkedIn: https://www.linkedin.com/in/clairevo/
[https://www.linkedin.com/in/clairevo/]
X: https://x.com/clairevo [https://x.com/clairevo]
—
Production and marketing by https://penname.co/ [https://penname.co/]. For
inquiries about sponsoring the podcast, email jordan@penname.co.
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