Topic AI Development

A practical guide to designing multi-step AI systems. Learn the difference between fixed LLM workflows and AI agents, how step boundaries enable retries and testing, how to handle waiting and idempotency, and why a hybrid workflow-plus-agent architecture often works best.

Claude SEO is a third-party, open-source SEO toolkit for Claude Code. Explore five practical integration points—content planning, brief creation, pre-publish QA, AI search readiness, and post-publish monitoring—and learn where human marketing judgment remains essential.

A practical guide to AI API token optimization. See how conversation history, RAG documents, tool outputs and response length were reviewed to reduce input tokens from about 8,000 to 1,600 while preserving the information needed to answer users.

Publishing more articles does not automatically build authority. This guide explains how topical coverage, semantic SEO, original value, content cannibalisation management, internal links and site architecture work together to create a coherent knowledge system for AI-driven search.

AI voice content uses two AI stages: script generation and text-to-speech. This guide explains how to test predefined voices, turn subjective feedback into requirements, manage versions, prioritize trade-offs, run group listening sessions and use post-processing to stabilize quality.

This PoC turns Google Colab into a temporary WebSocket server for speech-to-speech AI. It combines faster-whisper large-v3, Gemini 2.5 Flash-Lite, VOICEVOX and Silero VAD, then improves latency through sentence buffering, streaming responses and parallel TTS generation.

A Gemini Live API PoC can deliver real-time voice conversations quickly, but production introduces concurrency, quotas, observability, model lifecycle and device-specific audio issues. This article explains why the architecture moved from direct browser access to LiveKit and Vertex AI.

Can AI learn logic more efficiently through an artificial language than through natural language? This article compares Esperanto, Lojban, and Ithkuil, then presents a custom GPT-2 model trained from scratch on Lojban-based data that achieved 100% accuracy on prepared three-valued logic tests.

Using the same portrait and default settings, we tested Prism 3.1, Meshy 6, Tripo P1, Hunyuan3D, Forge, Trellis 2 and Rodin 2.5. See how they compare in facial similarity, texture, hair, clothing and mesh quality, plus which tools work best for realism, game assets and further editing.

We developed a hybrid AI system that detects, separates, and reconstructs Orion, Cassiopeia, and the Big Dipper from noisy, rotated, and scaled point clouds. It combines geometric signatures, an edge-updating GNN, and symbolic graph-isomorphism constraints, reaching a test macro F1 score of 96.91%.

Learn how Function Calling lets LLMs use external tools instead of performing every task themselves. This guide covers tool-use architecture, the evolution of coding agents, Structured Outputs, and a practical LangGraph and TypeScript implementation of the reasoning-and-action loop.

Using only floor plan images and SVG annotations—and without reading the official paper or code—the author reverse-engineered CubiCasa5K. The article covers semantic segmentation, random-rotation augmentation, inference of an incomplete sauna door, and conversion of the final result into a 3D model.