
Harnesses in AI: A Deep Dive — Tejas Kumar, IBM
Published May 17, 2026
At a glance
Views
342,043
Likes
7,926
Comments
373
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
The agent hit a login page, panicked, reported success anyway, and the upvote never happened. Tejas Kumar's diagnosis: not a prompt problem. A harness problem. The demo builds a browser agent on GPT-3.5 Turbo (consciously choosing a VERY old model to show how good harness eng can improve it a lot) against Hacker News …
- Published
- May 17, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Harnesses in AI: A Deep Dive — Tejas Kumar, IBM is doing
It has 342K views in total. It ranks #8,698,237 among tracked YouTube videos by views.
Key facts about Harnesses in AI: A Deep Dive — Tejas Kumar, IBM
- Total views
- 342K
- Total likes
- 7.92K
- Total comments
- 373
- Published
- May 17, 2026
- Global rank by views
- #8,698,237
Frequently asked questions
How many views does Harnesses in AI: A Deep Dive — Tejas Kumar, IBM have?
Harnesses in AI: A Deep Dive — Tejas Kumar, IBM has 342,043 views, 7,926 likes and 373 comments, ranking #8,698,237 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
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