AI Forward Blog
Blog
Technical notes, implementation writeups, and AI-forward engineering essays.
AI Is Not a One-Time Install80% of AI projects fail — not at launch but over time. AI evolves on its own trajectory; your business evolves on another. Without deliberate alignment, the gap between them compounds silently. Deployment is step one; alignment is the ongoing investment.Agent Farm or Memory Agent: Choosing the Right PatternA practical architecture guide for choosing between specialized agent farms, long-lived memory agents, and the hybrid pattern that works best in production.Open-Source Frameworks for an LLM WikiA comparison of Graphify, GraphRAG, Graphiti, LightRAG, KAG, LlamaIndex, LangChain, and Haystack against the idea of a persistent, self-maintaining wiki that compounds knowledge instead of re-retrieving it every time.Why Long AI Sessions DriftLong context windows help agents keep working, but growing session history can dilute attention, bury evidence, preserve stale assumptions, and turn debugging into context management.Skill or Agent: Choosing the Right AI AbstractionA practical decision guide for when to package repeatable expertise as a skill and when to build an agent that plans, uses tools, and owns a workflow.Gen AI Workflow Governance for BusinessWhat data can AI access, what actions can it take, who approves high-risk output, how are mistakes traced, and how does the business learn from incidents?Transcribe Video to a Living WikiTurn videos from feeds, chats, demos, interviews, and training libraries into source-backed Markdown that can be reviewed, searched, and folded into a maintained wiki.
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