AI Guides

A practical tracker for AI security: prompt injection, model abuse, agent security, AI cyber risk and defensive tooling.

A tracker for AI video, image generation, multimodal models, creative tools, synthetic media and product launches.

Latest Amazon Bedrock and AWS AI signals across foundation models, agents, enterprise deployment, inference and developer tooling.

Latest Anthropic and Claude signals: model updates, Claude Code, agents, safety work and enterprise AI adoption.

A practical tracker for AI coding agents, developer tools, Codex, Cursor, Claude Code, Replit and agentic software workflows.

Latest Claude Code signals across agentic coding, terminal workflows, Anthropic models, enterprise developer tools and safety changes.

Latest Cursor signals across AI coding agents, IDE workflows, model integrations, enterprise features and developer adoption.

Enterprise AI adoption signals across copilots, assistants, agents, infrastructure, compliance and customer deployments.

Latest GitHub Copilot signals across coding agents, Microsoft developer tooling, IDE features, pull requests and enterprise adoption.

Latest Google Gemini and DeepMind signals across model releases, research, agents, robotics and developer products.

A guide to LLM evaluation signals: benchmarks, eval methods, reliability, reasoning tests, agents and model comparison.

A living guide to LLM inference infrastructure: GPUs, serving stacks, latency, cost, routing, batching and deployment signals.

Latest Meta AI, Llama and open-model signals across releases, benchmarks, licensing and ecosystem adoption.

Latest Microsoft AI signals across Copilot, Azure AI, GitHub, enterprise agents, OpenAI partnership news and developer tools.

Latest Mistral AI signals across open-weight models, Le Chat, enterprise deployment, inference partnerships and European AI policy.

NVIDIA, AI chip, GPU, CUDA, Blackwell and inference infrastructure news curated for AI builders and investors.

A tracker for open-source and open-weight AI models, model releases, licensing, benchmarks and deployment tradeoffs.

Latest OpenAI signals across model releases, ChatGPT, Codex, Sora, developer APIs, policy and research.

A living guide to AI agents: how they work, where they are useful, what can fail, and the latest agent news from trusted AI sources.

A guide to agent evaluation: benchmarks, tool-use traces, task completion, memory, reliability and multi-step failure analysis.

A guide to agent memory: short-term context, long-term memory, retrieval, personalization, evaluation and failure modes.

A guide to agentic AI: planning, tool use, memory, workflows, autonomy levels, risks and the latest agent product signals.

A guide to AI inference: model serving, latency, throughput, GPUs, batching, routing, cost and deployment tradeoffs.

A guide to AI safety evaluation: red teaming, misuse testing, alignment checks, policy thresholds and deployment risk.

A guide to AI coding agents: repo understanding, planning, tool use, tests, pull requests and how they differ from autocomplete.

A practical guide to context engineering for LLM apps: retrieval, memory, prompts, tool results, evaluation and production context windows.

A guide to function calling in LLMs: structured tool calls, schemas, APIs, agent workflows, reliability and safety checks.

A guide to LLM evaluation: benchmarks, task evals, judges, reliability, reasoning, red teams and production model selection.

A concise guide to Model Context Protocol: why it matters, how MCP servers connect tools and data, and what AI builders should watch.

A guide to multimodal AI across text, image, video, audio and robotics, with model releases and product signals.

A guide to open-weight AI models: weights, licensing, open source claims, deployment control, risks and ecosystem signals.

A living guide to retrieval-augmented generation, including search, embeddings, vector databases, grounding, evaluation and production risks.

A guide to LLM tool use: browsing, code execution, APIs, MCP, agents, function calls, guardrails and evaluation.