https://zufelt.ca Writing by Everett Zufelt on agentic AI, composable architecture, and accessibility. en https://zufelt.ca/articles/lakshmi-showed-up https://zufelt.ca/articles/lakshmi-showed-up Sat, 11 Jul 2026 12:00:00 GMT keyboard-a11y-tester gains a second persona, Lakshmi, who computes what a screen reader would announce from a page's live accessible tree rather than driving an actual screen reader. The pilot also earned OpenSSF Best Practices and Scorecard badges and its first outside pull requests within days of launch. https://www.linkedin.com/pulse/revisiting-ai-agents-web-accessibility-what-testing-agent-zufelt-h8jsc/ https://www.linkedin.com/pulse/revisiting-ai-agents-web-accessibility-what-testing-agent-zufelt-h8jsc/ Wed, 08 Jul 2026 12:00:00 GMT A 2025 proposal imagined AI personas simulating disabled users' lived experience; this working pilot narrows that to one persona, a keyboard-only user, and finds the original framing needed correcting rather than confirming. A deterministic runner drives a real browser using only the keyboard, producing evidence-linked findings against WCAG success criteria like focus indicators, keyboard traps, skip links, and tab order, while the AI model is reserved for judgment calls a scanner can't make. The tool is explicit about what it refuses to fake or assert, positioning itself as a first-pass instrument that complements professional accessibility testers with disabilities rather than replacing them. https://orium.com/blog/agentic-ai-security-risks https://orium.com/blog/agentic-ai-security-risks Mon, 06 Jul 2026 12:00:00 GMT Agentic AI security isn't a problem to be solved but a balance to be struck: anything that can act can act wrongly, so organizations need to calibrate each agent's autonomy to the damage it could cause. The piece identifies six areas where that tradeoff concentrates — credentials, data flow inspection, tool access, host isolation, review processes, and data retention — and argues that instrumentation and human accountability have to back up the technical controls. https://orium.com/blog/agent-driven-delivery-production-trust https://orium.com/blog/agent-driven-delivery-production-trust Fri, 03 Jul 2026 12:00:00 GMT Agent-driven software delivery shows real promise but keeps stalling in practice, and the fix isn't a better model. The path to trustworthy, production-ready output is removing friction from the delivery lifecycle: documenting conventions, building sandboxes, automating checks, and giving teams clear visibility into what agents changed and why. https://orium.com/blog/shopping-agent-experience-after-checkout https://orium.com/blog/shopping-agent-experience-after-checkout Mon, 29 Jun 2026 12:00:00 GMT Shopping agents are being built almost entirely around product discovery, but that undersells what they could be. Extending agents past checkout into onboarding, problem resolution, and ongoing personalized recommendations is what turns a one-time transaction into a lasting customer relationship. https://machalliance.org/insights-hub/The-First-Wave-of-Agentic-AI https://machalliance.org/insights-hub/The-First-Wave-of-Agentic-AI Thu, 07 May 2026 12:00:00 GMT Five enterprises have already moved AI agents into production with measurable results, and the pattern cuts against conventional wisdom: the biggest wins came from narrowly targeting specific operational bottlenecks, not from obvious use cases like chatbots. Composable, API-first infrastructure and tightly scoped starting points were common to every success story. https://machalliance.org/insights-hub/building-the-agent-ecosystem-how-we-re-learning-together https://machalliance.org/insights-hub/building-the-agent-ecosystem-how-we-re-learning-together Thu, 09 Apr 2026 12:00:00 GMT MACH Alliance's Agent Ecosystem initiative brings enterprises, practitioners, and technology partners together to build enterprise AI solutions collaboratively rather than in isolation. The program is organized around four themes — engagement, awareness, solution demonstrations, and trust-signal creation — with separate participation paths for business leaders and technical architects. https://orium.com/blog/competitive-compression-agentic-ai-execution-speed https://orium.com/blog/competitive-compression-agentic-ai-execution-speed Fri, 13 Mar 2026 12:00:00 GMT Agentic AI is compressing the gap between intent and action, and that speed is becoming the new competitive battleground. Organizations with strong internal structure can turn that compression into an advantage, while those with fragmented processes will find their weak points exposed faster than ever. https://orium.com/blog/agentic-ai-organizations-operating-model https://orium.com/blog/agentic-ai-organizations-operating-model Wed, 04 Mar 2026 12:00:00 GMT As agentic AI moves from pilot to mainstream, it's surfacing five hard operating questions at once: competitive acceleration, operational clarity, workforce evolution, digital delivery, and shifting customer expectations. Adopting the technology isn't the hard part — the real work is fixing the structural issues it exposes. https://orium.com/blog/agentic-transformation-human-agency https://orium.com/blog/agentic-transformation-human-agency Tue, 16 Dec 2025 12:00:00 GMT Digital transformation has become table stakes rather than an advantage, so the real differentiator now is agentic transformation: building systems, human and AI alike, that act autonomously and adaptively instead of just digitizing existing processes. That means designing for context-awareness and proactive action, not just faster versions of the old workflow. https://fluentcommerce.com/resources/blog/the-fluent-builder-mcp-server-accelerating-developer-productivity-with-context-aware-tools/ https://fluentcommerce.com/resources/blog/the-fluent-builder-mcp-server-accelerating-developer-productivity-with-context-aware-tools/ Tue, 25 Nov 2025 12:00:00 GMT Fluent Commerce and Orium built the Fluent Builder MCP Server, wiring AI-assisted development directly into the Fluent CLI so developers can generate GraphQL queries and modify rules and workflows faster. It's a concrete example of the Model Context Protocol — a year old at the time of writing — connecting agents to real developer tooling rather than staying a demo. https://orium.com/blog/agentic-payments-acp-ap2-x402 https://orium.com/blog/agentic-payments-acp-ap2-x402 Mon, 29 Sep 2025 12:00:00 GMT Three new protocols — ACP from Stripe and OpenAI, AP2 from Google, and x402 from Coinbase — are emerging to let AI agents transact autonomously. Rather than competing head-on, each sits at a different layer of the agentic commerce stack: checkout integration, trust and authorization, and programmable payments, respectively. https://orium.com/blog/agentic-ai-strategy https://orium.com/blog/agentic-ai-strategy Tue, 29 Jul 2025 12:00:00 GMT Many organizations end up with a portfolio of successful agentic AI pilots that never add up to enterprise-wide impact. Getting past that plateau takes pairing bottom-up experimentation with top-down strategy, investing in shared platform infrastructure, and building an adaptive roadmap instead of testing isolated use cases forever. https://www.contentstack.com/blog/ai/piloting-your-agentic-future https://www.contentstack.com/blog/ai/piloting-your-agentic-future Fri, 18 Jul 2025 12:00:00 GMT Successful AI agent pilots in content workflows start small and keep humans actively in the loop rather than trying to automate everything at once. The most effective approach treats agents as collaborative partners on high-friction tasks, building trust incrementally instead of positioning AI as a wholesale replacement. https://composable.com/insights/adaptive-commerce-real-time-systems https://composable.com/insights/adaptive-commerce-real-time-systems Mon, 23 Jun 2025 12:00:00 GMT Adaptive commerce systems use real-time data, AI, and composable architecture to keep adjusting offers, pricing, and fulfillment as customer behavior and market conditions shift, rather than relying on static, one-time personalization. Getting there requires tightly integrating data and experience layers and organizing teams for continuous experimentation, not a one-off redesign. https://composable.com/insights/future-of-content-collaborative-ai https://composable.com/insights/future-of-content-collaborative-ai Sun, 25 May 2025 12:00:00 GMT Agentive AI is reshaping content workflows into a partnership rather than a straight automation play, accelerating planning, creation, editing, and distribution while people retain oversight and creative direction. Organizations applying this across the whole content supply chain — not just one stage of it — are seeing meaningfully better ROI. https://fluentcommerce.com/resources/blog/ecommerce-humans-ai-agents-at-work/ https://fluentcommerce.com/resources/blog/ecommerce-humans-ai-agents-at-work/ Thu, 01 May 2025 12:00:00 GMT AI agents in retail operations are evolving from narrow automation tools into genuine collaborative teammates. Composable order management systems make this practical by letting agents handle routine, well-defined work while people focus on judgment calls and refinement. https://www.linkedin.com/pulse/inclusive-teams-intelligent-systems-why-dei-secret-everett-zufelt-5si2c https://www.linkedin.com/pulse/inclusive-teams-intelligent-systems-why-dei-secret-everett-zufelt-5si2c Tue, 15 Apr 2025 12:00:00 GMT Diversity, equity, and inclusion aren't a side concern for human-AI teams — they're a precondition for the teams working well at all. Research cited here shows human+agent teams produce measurably better output when the surrounding culture is psychologically safe and people feel free to question what the AI recommends. https://composable.com/insights/future-of-digital-commerce-stripe-2024-trends https://composable.com/insights/future-of-digital-commerce-stripe-2024-trends Thu, 27 Mar 2025 12:00:00 GMT Stripe's $1.4 trillion in 2024 transaction volume points to five shifts already reshaping commerce: AI as a direct revenue driver, AI agents making autonomous purchases, stablecoins enabling global payments, fraud sophisticated enough to demand networked defenses, and business models that now need continuous reinvention rather than periodic refreshes. https://composable.com/insights/composable-dxp-why-70-of-enterprises-are-moving-beyond-traditional-suites https://composable.com/insights/composable-dxp-why-70-of-enterprises-are-moving-beyond-traditional-suites Sat, 15 Feb 2025 12:00:00 GMT Enterprises are moving away from monolithic DXP suites like Adobe and Sitecore toward composable, API-first, cloud-native alternatives that cost less to run and flex more easily. Platforms like Builder.io, Contentful, and Contentstack are leading that shift by letting organizations assemble best-in-class tools instead of committing to one vendor's whole stack. https://www.linkedin.com/pulse/leveraging-agentive-ai-web-accessibility-new-frontier-everett-zufelt-r3mdc/ https://www.linkedin.com/pulse/leveraging-agentive-ai-web-accessibility-new-frontier-everett-zufelt-r3mdc/ Sat, 01 Feb 2025 12:00:00 GMT Static accessibility checklists miss a lot of what actually breaks for disabled users, so this piece proposes AI agents that simulate specific disability experiences — limited mobility, color blindness, autism — and report back in narrative form. The goal is testing that reflects real, lived friction rather than a compliance box-check. https://www.linkedin.com/pulse/accessibilitys-next-chapter-how-coding-assistants-adaptive-zufelt-qqcic https://www.linkedin.com/pulse/accessibilitys-next-chapter-how-coding-assistants-adaptive-zufelt-qqcic Tue, 07 Jan 2025 12:00:00 GMT Tools like GitHub Copilot show real promise for pushing web accessibility past current standards, but code generation alone isn't the whole answer. Real inclusion still depends on balancing automation with human insight and testing against actual user experience, not just automated conformance checks. https://composable.com/insights/creating-a-data-fabric-for-composable-commerce https://composable.com/insights/creating-a-data-fabric-for-composable-commerce Tue, 05 Nov 2024 12:00:00 GMT A data fabric ties together the fragmented data that piles up across composable commerce stacks, enabling real-time sync instead of batch reconciliation. Built on services like Pub/Sub, BigQuery, and Vertex AI, it gives brands centralized governance and AI-driven personalization without giving up the flexibility of best-of-breed tools. https://composable.com/insights/empowering-healthcare-businesses-with-composable-commerce https://composable.com/insights/empowering-healthcare-businesses-with-composable-commerce Wed, 17 Jul 2024 12:00:00 GMT Healthcare organizations can adopt composable commerce to build modern, engaging digital experiences while keeping patient data compliant with HIPAA — by isolating sensitive data in secure backend systems and assembling specialized, best-of-breed tools around it. That lets providers compete with consumer B2C brands on experience without loosening regulatory or security requirements. https://composable.com/insights/how-to-master-composable-commerce-with-free-tools https://composable.com/insights/how-to-master-composable-commerce-with-free-tools Thu, 25 Jan 2024 12:00:00 GMT Headless and composable commerce is more approachable than it sounds, thanks to free trials from vendors like commercetools, Algolia, Vercel, Stripe, and Contentstack. Composable UI in particular offers developers an open-source, no-cost way into the ecosystem without a big upfront commitment. https://composable.com/insights/composing-a-unified-omnichannel-purchase-experience-the-competitive-edge-in-modern-retail https://composable.com/insights/composing-a-unified-omnichannel-purchase-experience-the-competitive-edge-in-modern-retail Thu, 25 Jan 2024 12:00:00 GMT A unified checkout across physical stores, digital channels, and emerging platforms reduces cart abandonment and gives retailers a real competitive edge. Combining seamless purchasing paths with shared customer data lets retailers personalize the experience in ways that build conversions and long-term loyalty, not just a one-time sale.