Microsoft launched Microsoft-Decision-1 in Foundry, using a decision model trained on Alibaba’s Qwen3.5-9B instead of OpenAI’s Decisions API model, and positioned it for faster decision-making in applications and agent workflows. It charges $0.042 per million input tokens (with free output). This shifts more decision-model demand toward Microsoft’s Foundry ecosystem while leaving remaining uncertainty about image support, System One compatibility, and how the model’s calibration holds under adversarial input.
TypeSafe announced that its Jev API reached more than $100M ARR within its first week, with Sequoia reporting a $7.5B valuation just 3 weeks after launch. $7.5B valuation is attributed to Jev’s early growth. The result is increased benchmarking around typed “decision” outputs and faster category spread across other model providers and tooling.
Agibot launched as an always-on personal AI agent for Macs that can work in the background and handle web tasks. It is free forever if you use your own API key. The change is that users can chat with it via the app, Telegram, or Slack and have it monitor for changes and learn from corrections.
Microsoft released Microsoft-Decision-1, a decision-scoring AI model for routing, classification, verification, and agent control that returns calibrated probabilities over fixed answer options rather than generated text. It scored 83.5% average accuracy across Microsoft’s 36 benchmarks with 85 ms p50 latency. The release adds a closed, hosted API that is deployable via Microsoft Foundry or OpenRouter and changes output from prose to JSON option probabilities with pricing at $0.042 per million input tokens and free output.
Make0 Brain launched today as a personal memory store meant to keep your context synced across multiple AI agent tools like ChatGPT, Claude, and MCP-compatible apps. It is positioned as working with agents that can read and write memory, with setup claimed to take 2 minutes. As a result, users can import conversations and documents into one place so different agents share the same personal context.
Farol launched today as a macOS terminal that runs Claude Code and Codex in parallel with a status sidebar and menu-bar view across apps. It assigns each task its own git worktree and starts it from a prompt, GitHub issue, or Jira ticket. It lets you review diffs, commit, push, and open the PR in the same window.
CLI Manager added an AI Control API that lets an AI agent open, drive, and read terminal sessions inside the app for Claude Code, Codex CLI, and Gemini CLI. The API runs locally on 127.0.0.1 and is off by default. This adds watched, controllable orchestration of CLI AI sessions and an option to take control back via Disconnect AI.
Every AI story that matters,
in your inbox by 8am.
TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the
day in two minutes. Follow companies and topics for alerts, or get the
briefing in Slack. Free, no spam, unsubscribe anytime.
Reading TLDRocket needs no cookies, and the readership counts we rely on come from
our own cookieless analytics. Google Analytics is the exception: it sets cookies and
reports to Google, so it stays switched off until you allow it. You can change your
mind any time from “Cookie settings” in the footer.
Strictly necessary
Session security and form protection (tldrocket-session,
XSRF-TOKEN, 2 hours). The site cannot work without them,
so they need no consent.
Always on
Google Analytics 4 (_ga,
_ga_<id>, up to 2 years). Measures which
stories and sections readers use. Google acts as a third-party processor and may
store the data outside the EU. No advertising, no profiling, no data sold.
