One theme that emerged from today’s reading list? “Are you ready for AI.” Is your data ready? Your APIs? Your backlog? User experience? Your people? If you say “yes” to all of those, you’re a unicorn and I’m very impressed.
[blog] Intelligent transcription with Gemini 3.5 Transcribe. We just gave a big boost to your speech-to-text ambitions. I love how it handles rambling talk, background noise, and even custom vocabularies. Related, on voice interactions.
[article] One-third of employees overstate AI skills: report. Generational differences here, but we’re all trying to figure out what to use, and know.
[blog] Piloting the world’s first double-blind AI evaluations. At this point, I assume that models are trained to create great “pelican on a bicycle” images given how much that little test is talked about online. You need a way to eval where models haven’t already seen the test questions. Here it is.
[blog] 10 Tips for Preparing APIs for Agentic Access. Important topic! I like the areas called out in this post.
[blog] The Backlog Was a Coping Mechanism. Good post. I was taught “now, next, or never” for incoming requests and to avoid a bloated backlog that we’d never get to. Some of those considerations change further, as Allen identifies here.
[blog] Generic Methods. Go developers have very strong emotions about this one. Many love, a few hate. It’s ok. I’m happy that devs push us to keep Go straightforward to write and read.
[article] Making Your Data Ready for Agentic AI. Above we looked at making APIs ready. You need your data to be ready for AI as well.
[blog] Deploy personal AI agents with Cloud Run instances. This fills a specific need. You’ve got an always-on component, but want a fully managed runtime. These new instances are ideal for OpenClaw, Hermes, or whatever continuous and stateful workload you got.
[article] Harness Unfurls Source Code Repository Alternative to GitHub. Not the first, not the last. Let’s see if this new crop of source services have staying power.
[blog] Expert Intelligence: a new way for you to engage with trusted content. Load books into Gemini Notebook (aka NotebookLM) for more personalized learning. Cool.
[blog] AI UX Patterns to Show Meaningful User Benefit. How are you adding AI features to your existing app surfaces? Here are some patterns to consider.
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