Get 5 things to act on each day — instead of 1,500 articles to read. Free, Builder, or Pro.
Define a stateful workflow, separate model decisions from runtime, use typed tools, enforce structured outputs, and add observability.
Split data into training and test sets before training to avoid data leakage and ensure realistic model evaluation.
Benchmark your workloads against DigitalOcean’s new DeepSeek V3.2, MiniMax‑M2.5, and Qwen 3.5 397B to validate the 230 tok/s speed advantage.
Run `python rag_agent.py ingest` to pull your DEV.to posts, then `python rag_agent.py chat` to test the three RAG strategies; enable local embeddings with `ollama pull nomic-embed-text` to keep indexing local.
Patch your LLM integration to use the Spring Boot gateway for rate limiting, budgeting, and audit logging.
Run the Clone Talking app locally with free‑tier APIs for real‑time voice cloning.
Use LLMs to orchestrate OSINT tool chains and synthesize structured intelligence.
Patch your llama.cpp build to enable the Vulkan backend (-DGGML_VULKAN=ON) and run with -dev Vulkan0 for faster token generation on RDNA3.5 GPUs.
Genkit Java now offers direct calls, typed flows, and agents with a Dev UI, deployable to Spring Boot or Jetty; use it to expose AI flows as HTTP endpoints and leverage MCP, RAG, and multi‑agent patterns.
Document intent and keep design docs alive to counter cognitive debt; use AI to surface knowledge gaps and enforce review practices.
Use Skills Over MCP to host your SKILL.md files in a public GitHub repo and mount them via a personal MCP URL.
Configure akm to use workflow assets, vault assets, and writable git stash for persistent, resumable agent procedures and secret management.
Create a wiki with akm wiki create, stash sources, run akm wiki ingest, and lint to enforce structure.
Survey the top local deep‑research projects and evaluate their maintenance status before integrating them into your workflow.
Replace embedding for behavior that needs overriding with interfaces or explicit dependencies.
Evaluate Paragon for secure integration needs in your AI workflows.
Patch your training pipeline to evaluate val_bpb after each 5‑minute run and keep only improvements, discarding any experiment that does not lower the metric.
Run Gemma 4 26‑B on a CPU‑only machine with 32 GB RAM for fast inference.
Explore a curated list of local AI tools for voice, text, and media processing, including Applio, Ultimate‑TTS‑Studio, Open Web UI Desktop, Pinokio, Handy, ComfyUI, Ultimate Vocal Remover, Meetily, Voice Upscaling, and various ASR models like Parakeet, VibeVoice, CohereTranscribe.
Install AI Dev OS and add your project‑specific guidelines to enforce conventions.
Clone the repo, set env vars, run supabase db push, create storage buckets, build the CLI, then launch the dev server.
Check the Causal‑Forcing repo and pull the ComfyUI PR to test KV cache‑accelerated single‑frame generation on an RTX 4090.
Merge the froggeric and allanchan339 Qwen 3.6 chat templates into a single file, then load it into your llama‑server or Qwen 3.6 35B A3B instance to benefit from strict tool rules, developer role support, JSON‑parsed tool args, and auto‑closing think tags.
Assess how Applied Intuition’s physical AI stack can be integrated into your autonomous vehicle or robotics projects.
Measure GPU cost per training run or inference, account for idle time, data movement, retries, and operational overhead, not just hourly rate.
Recognise that LLMs will be used as interchangeable rails; build routing, context, MCP, orchestration, eval, and vertical layers to create value.
Benchmark Qwen 3.6‑27B on an M5 Max to confirm the reported 2.24× speedup and verify accuracy at depth 3.
Test Claude and Codex side‑by‑side on a representative task to see which respects your repo rules better.
Patch: integrate LLM386 runtime into your agent stack to manage LLM context windows deterministically; test with the provided Docker Compose example.
Patch WPVibe to connect your AI assistant via the MCP server URL, test draft defaults and sandboxed edits, then upgrade Charitable to 2.0 for recurring‑only mode and MRR dashboard, and install Sublium to add flexible WooCommerce subscriptions.