Daily TEA – Your AI Feature Is Never Actually “Done”

Why shipping AI has no finish line, the surprise names topping the AI adoption index, the bedazzled cyberdeck rebellion, X’s bet on video reactions, and Perplexity selling search as code

Jun 03, 2026

Hello, dear TEA-mates! Here is what you need to know today.

1. 🚢 Shipping AI Means You Are Never Really “Done”

Product coach Jeff Gothelf argues the old definition of “done” falls apart for AI features. Traditional software behaves like a vending machine: the same input returns the same output every time, so “done” was the moment the tests passed and the spec was met. AI features instead ship a distribution of behaviors, where one prompt can yield different results across users, sessions, and model updates, so “all tests pass” still matters but no longer means done. Gothelf offers three fixes: write acceptance criteria as distributions (for 80% of inputs the response meets a quality bar, the other 20% fail gracefully), build the failure-triage playbook before launch instead of after complaints pile up, and set a tripwire metric (error rate, hallucination rate, off-tone complaints) with a rollback you have actually rehearsed. His reframe: done is no longer a checkbox, it is a stance on the variance and failure modes you choose to accept. (Read More)

🫖 TEA For Thought: “In the AI era, you can’t just check a box and walk away when you launch a feature. You are never truly ‘done.’”

2. 📊 The Top AI Adopters Aren’t All Big Tech (Energy Made The List)

A new open-source index from the AI-Driven Enterprise Institute (AIDE) ranks how far S&P 500 companies have actually adopted AI, scoring each up to 100 across four areas: literacy, advocacy, orientation, and implementation. It draws only on public data such as earnings call transcripts, job postings, and patent filings, so the ranking is not self-reported. Chipmaker Nvidia earned a perfect 100, joined at the top by Amazon, Meta, and, more surprisingly, energy producer SLB (formerly Schlumberger). Walmart (95.84) came next, followed by utilities AES (95.46) and NextEra Energy (95.44), with Chevron, Halliburton, and Duke Energy also landing in the top 20. AIDE CEO Paul Cheek, an MIT senior lecturer, says the goal is to give boards an objective peer comparison instead of a survey guess, though the index does not measure whether AI is actually driving financial returns. (Read More)

🫖 TEA For Thought: “Being AI-pilled isn’t just employees using AI. It’s a structural change, a paradigm shift. Surprisingly, several energy companies made the list!”

3. 🐚 The Bedazzled Cyberdeck Rebellion Against Big Tech

A growing community of women on TikTok and Instagram is hand-building “cyberdecks,” small DIY computers (a term coined in William Gibson’s 1984 novel Neuromancer) wrapped in artistic, hyper-feminine shells. Most run on a Raspberry Pi: a seashell mermaid purse that doubles as an e-reader and server monitor, a wood-and-moss deck that plays Game Boy games, a 3D-printed fossil MP3 player, and a Barbie dollhouse that opens into a working mini-computer. Creator CC documents her builds on a blog called Bimbo Tech so other women can follow along even if they do not yet know what RAM is. Blockchain developer Maro Vardanyan weaves pink Raspberry Pis into purses and corsets she calls “macrame motherboards,” a nod to the women textile workers who hand-wove the core-rope memory for NASA’s Apollo Guidance Computer. The movement is framed as a rejection of big tech’s sealed black boxes and a push for radical ownership over the devices people use every day. (Read More)

🫖 TEA For Thought: “We’ll probably see more of these personal cyberdecks doing agentic work for us. It’s the best time to be a builder and creator, and not just a content creator, but a physical, tangible creator!”

4. 🎥 X Bets On Video Reactions To Win Over Creators

On Tuesday, Elon Musk’s X launched “React with Video,” a feature that lets users record a video response to a post instead of reposting or quote-tweeting it. It is pitched as a tool for creators and news influencers who build their brands on commentary and hot takes. X head of product Nikita Bier said “commentary is one of the most important pillars of X,” and that video is sometimes the best way to share a thought. The feature is iOS-only for now, with Android and web coming “soon,” and X says video lets audiences read tone and facial expression that text cannot carry. The launch follows a turbulent stretch for creators: X wound down its Communities feature in April, walked back changes to its revenue-sharing program after backlash, and cut payouts to clickbait accounts. X reported 550 million users as of March 2026, up from 520 million in December, per SpaceX’s S-1 filing. (Read More)

🫖 TEA For Thought: “This is interesting given the X algorithm that went public a couple of weeks ago. It showed that X promotes video more than text posts. People say they prefer to read text, but when everything is text-heavy and everyone’s attention span is shorter, a short video is definitely the catch.”

5. 🔍 Perplexity Turns Search Into Code That Agents Can Write

Perplexity unveiled “Search as Code” (SaC), a new architecture that lets an AI model write Python code to drive the individual parts of a search pipeline rather than calling one fixed, end-to-end search box. It has three layers: the model as a control plane that generates task-specific code, secure sandboxes that run deterministic steps like batching, filtering, and aggregation, and an “Agentic Search SDK” that exposes search as small composable primitives. Intermediate results are saved to a filesystem between turns to avoid burning tokens. Perplexity reports state-of-the-art results on five benchmarks, including 87.1% accuracy on DSQA (versus 73.3% for OpenAI) and 2.5 times the score of rivals on a new benchmark it calls WANDR. In one test that flagged more than 200 high-severity CVEs, SaC hit 100% accuracy while using 85% fewer tokens (42,900 versus 288,700). It is available now through Perplexity Computer and the Agent API. (Read More)

🫖 TEA For Thought: “When I saw this news yesterday, it didn’t register with me. Now I get it: Perplexity is basically doing what AWS does, selling what they’re best at as a service. Like Amazon selling AWS, or selling logistics and shipping as a service, Perplexity is now selling its search backend as a service. How brilliant!”

🛠️ Skill of the Day

The “Definition of Done” Coach: turn a fuzzy goal into a crisp finish line you can actually hit.

You are a pragmatic project coach. I will describe a goal or task that
feels vague or open-ended. Help me define what "done" actually means so
I stop spinning and know when to ship.

Here is my goal:
[DESCRIBE YOUR GOAL, PROJECT, OR TASK]

Do the following:
1. Restate the goal in one plain-language sentence.
2. Define "done" as 3 to 5 concrete, checkable criteria. Each must be
   observable by someone other than me (no "feels good enough").
3. Separate the must-haves for version 1 from the nice-to-haves I can
   cut. Be ruthless.
4. Name the top 2 ways this could fail or drag on, with one guardrail
   for each.
5. Give me a single stop rule: the signal that tells me to ship now
   instead of polishing forever.

Keep it short and specific. If my goal is too big for one pass, propose
the smallest version worth finishing first.

Paste into ChatGPT, Claude, or your tool of choice, drop in any goal, and you get a finish line instead of an endless to-do list.