EPISODE · Jun 30, 2026 · 25 MIN
Sonnet 5 review: I ran 64 generations to find out if it's worth it
from How I AI · host Claire Vo
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:What Anthropic claims Sonnet 5 improves over Sonnet 4.6, and where the benchmark data actually backs that upHow I built the How I AI Bench in under 45 minutes using Claude Code, starting from my own stored session historyWhy I combined human vibe scoring (70%) with LLM as judge scoring (30%) instead of trusting either aloneHow to set up a local HTML scoring page so you can rate AI outputs on gut feel and export those scores as JSONWhich model I recommend for PRDs, which for complex prototypes, and which for chatting with an agent daily—Brought to you by:Runway—The creative AI platform for images, video and moreHyperagent—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• 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/• Gemini 3 Pro (Google DeepMind): https://deepmind.google/models/gemini/pro/• Cursor: https://www.cursor.com/—Other references:• SWE-bench Pro (agentic coding benchmark referenced): https://www.swebench.com/—Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/Website: https://clairevo.com/LinkedIn: https://www.linkedin.com/in/clairevo/X: https://x.com/clairevo—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
What this episode covers
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:What Anthropic claims Sonnet 5 improves over Sonnet 4.6, and where the benchmark data actually backs that upHow I built the How I AI Bench in under 45 minutes using Claude Code, starting from my own stored session historyWhy I combined human vibe scoring (70%) with LLM as judge scoring (30%) instead of trusting either aloneHow to set up a local HTML scoring page so you can rate AI outputs on gut feel and export those scores as JSONWhich model I recommend for PRDs, which for complex prototypes, and which for chatting with an agent daily—Brought to you by:Runway—The creative AI platform for images, video and moreHyperagent—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• 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/• Gemini 3 Pro (Google DeepMind): https://deepmind.google/models/gemini/pro/• Cursor: https://www.cursor.com/—Other references:• SWE-bench Pro (agentic coding benchmark referenced): https://www.swebench.com/—Where to find Claire Vo:ChatPRD: https://www.chatprd.ai/Website: https://clairevo.com/LinkedIn: https://www.linkedin.com/in/clairevo/X: https://x.com/clairevo—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
NOW PLAYING
Sonnet 5 review: I ran 64 generations to find out if it's worth it
No transcript for this episode yet
Similar Episodes
Mar 31, 2026 ·54m
Mar 27, 2026 ·14m
Mar 24, 2026 ·42m
Mar 20, 2026 ·42m
Mar 17, 2026 ·41m
Mar 13, 2026 ·44m