The Autonomous Paradox In 2026, we’ve moved past simple chatbots. We are building Production-Grade RAG pipelines and autonomous agents that can plan, execute, and iterate. But as an architect, I’ve noticed a glaring hole in our "Agentic" future: Identity Sprawl. We are giving agents non-human identities (NHI) with "Full Admin" permissions just to ensure the RAG works smoothly. We are effectively
Key Takeaways Multichain user journeys span social discovery, multiple chains, and offchain touchpoints so analytics tools must unify all data sources into a single user profile to avoid making decisions on structurally incomplete information. Web3 conversion cycles are far shorter than Web2 with users moving from first touch to transaction within a single session, making real-time attributi
Key Takeaways Web3 community tools span five distinct categories covering messaging, data collection, social platforms, quest and reward gamification, and token-gated access management, each serving a different engagement goal. Spreading moderation across too many platforms weakens community presence so teams should build depth on one or two core platforms that match their audience before ex
TL;DR You can integrate Azure DevOps with GitHub to get the best of both worlds in Power Platform development. ADO stays as the backbone: work items, sprint planning, test plans, and deploy pipelines all remain on Azure DevOps. Code moves to GitHub: Power App Code Apps or Power Pages SPA live in GitHub repos, unlocking native GitHub Copilot integration and the Copilot Cloud Agent. The two platfo
Key Takeaways Google Analytics cannot track wallet connections, smart contract calls, or token transfers making it structurally blind to the core conversion events that determine whether a dApp is actually growing. Wallet addresses persist across devices and browser resets unlike cookies so Web3 analytics tools preserve attribution for referral campaigns and acquisition channels even when us
Key Takeaways DeFi product analytics requires onchain and offchain data integration because the blockchain records smart contract interactions that traditional tools cannot access while still needing web session and acquisition channel data. Each platform serves a distinct primary use case so teams choosing between Formo for unified product metrics, Dune for custom SQL queries, and Nansen fo