36 stories
We checked 10 AI app builders for one thing: does it keep a record of why your app is shaped that way? None does. Here is what each one actually ships.
The full TSK-1 method: frozen requests, one to three builds per model per test, a customer-style check of every saved field, four graded qualities, and what we never publish.
Paste your website URL into Taskade Genesis and Taskade EVE reads the page, understands your business, and builds a live app. Or clone an App Kit with everything connected.
Date.parse guesses and Temporal ships no parser. @taskade/temporal-parser is a zero-dependency TypeScript lexer for ISO 8601, RFC 3339, and IXDTF strings.
Build a CRM, launch a client portal, open a shop, and publish each app on your own domain. Choose who gets in, and keep every app connected in one workspace.
We gave nine AI models the same app request inside Taskade Genesis and graded the app each one shipped. No model won everything. Here is who leads what and why.
Your apps run live now. Connect the work, let the automations carry it, and open any run to see what happened at every step. Plus six App Kits to clone.
Claude, ChatGPT, and Gemini can all build an app inside the chat. The question nobody answers is what survives when you close the tab, or when the builder shuts down.
Ship an AI agent that looks like your company: generate its art in the workspace, preview it the way a visitor sees it, then publish it as a public page, a branded domain, or a widget on your site.
Agentic automation runs a named agent with memory and tools inside a workflow. Here is the five-point test that separates it from a stateless AI step.
Two frontier labs and two research papers reached the same conclusion by 2026: the AI instructions you wrote to improve output are now quietly making it worse.
The real history of mind mapping, with sources. Porphyry never drew a tree, Leonardo's map has never been produced, and the best-controlled study found no benefit. Here is what actually happened, from 270 AD to GraphRAG.
A quine prints its own source. Von Neumann showed what self-replication needs in 1948, five years before DNA. Here is the full chain, with code you can run.
Richard Sutton compressed The Bitter Lesson into 26 words. What it means, why he now says LLMs break it, and what it changes for anyone building with AI.
A Markov chain predicts the future using only the present. How one 1913 argument about free will produced PageRank, Monte Carlo, and modern language models.
Turn a cloned app into a product clients pay for. Add email sign-in on every plan including Free, point your domain at it with one CNAME on Business, and get visitor analytics as soon as you publish.
A customer health score needs four signals you already have: usage recency, tickets, invoices, and last human contact. Here is how to weight them without a data team and wire a weekly at-risk review.
Cross-entropy measures prediction error in bits. Learn how Shannon entropy, data compression, and the training loss of a large language model turn out to be the same idea.
Showing 36 of 36 stories
You're all caught up.
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts
