Independent analysis of models, agents, automation and research—written for people responsible for what ships, what it costs and what can fail.
Gemini Decision 1 scores up to 1,000 questions against shared input, with no generated output tokens
Google’s November 11 launch brings a dedicated decision endpoint to the Gemini Developer API. It costs $0.10 per million input tokens, supports text and media, and returns probabilities rather than prose—but the headline latency claim has a narrower test envelope than the full API limits.
The million-token model has global, US and India routing, but the model card flags important Converse and reasoning differences
AWS’s November 10 guide explains how to use Kimi K3.1 Pro Highspeed through Bedrock’s OpenAI-compatible APIs. Global Standard pricing is $4 input and $20 output per million tokens; residency, caching and API choice change the deployment decision.
The Qwen-based agent model has safetensors and three GGUF variants, including a roughly 0.53 GB download
Tether AI Research announced BotPsy on November 11. Public weights and Apache 2.0 licensing make it a concrete local-agent candidate, but its own results show weak deep research and do not establish phone performance.
The iPhone rollout adds conversational AI to the dashboard, with Gmail and Calendar access subject to setup and eligibility
Google began rolling out Gemini on Apple CarPlay on November 11. The app supports voice conversations, recent chats and iPhone history sync, but global rollout does not mean every personalization feature is available everywhere.
We separate vendor claims, public evidence and our own recommendations. When evidence is thin, we say so.
Capability, cost, deployment and model-selection decisions.
Explore desk →02Coding agents, tool use, orchestration, control and reliability.
Explore desk →03Operational workflows that survive contact with production.
Explore desk →04What research changes, what it proves and what teams can use now.
Explore desk →05Evaluation design, reproducibility and evidence beyond leaderboards.
Explore desk →06Evidence-led frameworks for expensive AI tooling decisions.
Explore desk →Primary sources first
Reproducible methods
Limitations in plain view
Commercial ties disclosed
Its November 11 guide starts with native AWS access and adds gateways only when routing or enforcement requires them
AWS’s new rollout guide connects workstation-based Codex to supported OpenAI models on Bedrock using IAM Identity Center, with AgentCore and LLM gateways as alternatives. It is deployment guidance, not a new Codex model or proof that every AWS account has access.
InvokeWebSearch brings Amazon’s index to custom agent loops in six Regions at $7 per 1,000 queries
AWS’s November 11 launch lets applications call AgentCore Web Search directly with IAM credentials. The API removes gateway setup and charges, but leaves retries, caching and request-level source filters to application code.
The November 9 release cuts standard token prices, adds optional fast mode and reaches AWS, Google Cloud and Azure; Mythos 5.2 remains gated
Claude Fable 5.2 is available as claude-fable-5-2 for demanding coding and technical work. Anthropic reports faster generation and stronger evaluations, but route-specific retention and effort settings still matter.
Thinking Machines Lab’s November 5 model now has a zero-priced API listing; promised open weights are a separate milestone
OpenRouter lists thinkingmachines/inkling-2-small:free with image inputs, reasoning and a 1,048,576-token context. Thinking Machines positions the 17B-active model for coding agents, but calls out tool-selection and chat limitations.
A November 5 study classifies 207,049 consumer-plan research sessions and finds heavy use in computational fields—but its 2× to 16× acceleration figures are modeled scenarios, not observed productivity gains
Anthropic analyzed 207,049 research sessions from Claude and Claude Code. Data analysis and writing dominate current use, while the study’s larger acceleration figures depend on strong automation and cost assumptions.
The November 6 study reports profitable trading against replayed game data and capable fleet coordination, but directional bets were weak and warned teams almost never identified a prompted saboteur
Anthropic put Claude agents into EVE Online market replays and live EVE Frontier missions. The first-party results show disciplined execution and coordination alongside brittle adaptation, weak forecasting and a serious multi-agent oversight gap.
