# https://suchetanabauri.com


## Posts

- [Apple’s accessibility story is getting better at looking like generosity](https://suchetanabauri.com/apple-accessibility-hikawa-branding-critique/): Apple knows how to make virtue gleam. The latest example is the short film around the Hikawa Grip & Stand for iPhone, designed by Bailey Hikawa and presented as an accessibility-minded object for 'everyone, however you hold iPhone'. The accessory is real. The design intent appears real. The need is real. But the story Apple is telling about it is more complicated than the film lets on.
- [Google Wants to Be Your Agent. Read the Small Print.](https://suchetanabauri.com/google-io-2026-gemini-agent-review/): Google's I/O 2026 keynote was polished, generous with its human-interest stories, and very light on the small print. This piece walks through all seven chapters — Omni, Antigravity, Spark, Search, Gemini, Generative Media, and Intelligent Eyewear — and asks the question the stage never did: what does it actually cost to let Google run your digital life?
- [Your Job Is Not Being Replaced. It Is Being Rewritten — and Anthropic Just Showed You the Script](https://suchetanabauri.com/anthropic-claude-rewrites-work/): Anthropic’s latest Claude Code and Claude Cowork videos are not product fluff; they are a quiet blueprint for how developers, sales, marketing ops and lawyers will see their jobs rewritten by AI.
- [The Week AI Left the Lab](https://suchetanabauri.com/ai-deployment-race-weekly-analysis/): AI stopped being a lab experiment this week and started to look like infrastructure, as OpenAI, Anthropic, Google, xAI and Palo Alto all raced to embed agents inside real organisations. 
- [AI-Powered Design Systems Are Not One Category. Use the Right Tool or Pay Twice.](https://suchetanabauri.com/ai-powered-design-systems-guide/): A practical guide to choosing AI design tools by workflow stage, so teams can reduce rework, control costs, and build stronger design systems.
- [Claude Code Is Not Winning Developers With Better Chat. It Is Rewriting the Interface Between Code, Tools and Control.](https://suchetanabauri.com/claude-code-mcp-agent-view-control-2/): Claude Code is not trying to win on prettier autocomplete. It is quietly turning the dev environment into a network of supervised agents, opinionated tools and tight permissions – a move that matters far more to real teams than another benchmark chart.
- [Codex after the hype: how an AI coder became a workflow engine](https://suchetanabauri.com/codex-workflow-engine/): Codex has moved past “AI autocomplete.” This article shows how teams turn it into a supervised workflow engine, and why tests, access, review and logging decide who actually wins.
- [Mac, meltdown and the myth of “having it all under control” at uni](https://suchetanabauri.com/mac-for-college-students/): Apple’s new Mac student film nails the feeling of barely managed intensity at uni – but it still turns stress into a product story. This piece unpacks what the ad gets right, where it glosses over class and course reality, and how students can make calmer, more honest decisions about buying a Mac for university.
- [Calm systems, clear stories: my framework for AI product messaging](https://suchetanabauri.com/calm-ai-product-messaging-framework/): Calm AI products deserve calm stories. This piece shares a four-step framework — Context, Constraints, Capabilities and Consequences — to write honest, high-trust AI product messaging that still sells.
- [Your Next Shadow Org Chart Is Made of Agents](https://suchetanabauri.com/chatgpt-workspace-agents-shadow-org-playbook/): Somewhere between a Jira ticket and a Friday metrics deck, a quiet re‑org is underway. ChatGPT’s new workspace agents are not assistants in a browser tab; they are proto‑team members with API keys and a brief. For small product teams in India, that is both a blessing and a trap. If you turn feedback triage, lead outreach and risk checks into long‑running agents, you’re no longer just automating tasks – you’re encoding strategy, bias and blind spots into a parallel organisation that runs on its own. This piece lays out why that shift matters now, and how to stand up five concrete agents in a single quarter without outsourcing your judgement along the way.
- [‘The Poster Is Now the Product: How ChatGPT Images 2.0 Turns Visuals into Infrastructure’](https://suchetanabauri.com/chatgpt-images-2-0-visual-infrastructure/): Somewhere between a grain of rice and a 2K poster, OpenAI quietly redrew the boundaries of what image generation is allowed to claim. ChatGPT Images 2.0 isn’t just making pretty pictures; it is muscling into layout, language, and research, turning the humble “visual asset” into a full‑stack answer engine. For designers, marketers, and product teams, that means the first draft is no longer yours. The question now is not whether you will use AI to make visuals, but whether you are prepared to let those visuals decide what your work should look like in the first place.
- [Figma MCP just changed who controls “good UI”](https://suchetanabauri.com/figma-mcp-design-system-power/): Figma’s Model Context Protocol isn’t just another AI integration; it quietly turns your design system into machine‑readable infrastructure that AI agents now depend on. In the process, it shifts power towards whoever controls the system – designers, developers, PMs or marketers – and away from the messy, human spaces where real product judgement usually lives. This essay unpacks how MCP changes day‑to‑day work for practitioners, why “design context everywhere” is as much a governance question as a productivity promise, and what teams in India and beyond should do differently before their brand, and their judgement, are flattened into tokens.
- [When AI Starts Designing: Reading Between the Frames of Anthropic’s “Claude Design”](https://suchetanabauri.com/claude-design-ai-format-engine/): Claude Design pushes Claude from chat box to design workbench, turning prompts into on‑brand prototypes, decks and one‑pagers—while raising new questions about taste, governance and how teams should actually think with AI.
- [Codex Killed Manual Coding — The Workflow Shift No Developer Expected](https://suchetanabauri.com/codex-killed-manual-coding/): Manual coding isn’t disappearing because developers got lazy; Codex is quietly moving judgement out of the editor and into agent workflows, tests, and review rituals.
- [Ready for Every Learning Opportunity — Or Every Workflow?](https://suchetanabauri.com/ready-for-every-learning-opportunity-or-every-workflow/): A flock of parrots flies into an Apple classroom and, within seconds, chaos becomes curriculum. This essay argues that the real star isn’t the bird or the teacher—it’s the quiet behaviour loop that MacBook Neo and iPad are selling to schools, and what that loop reveals about access, inclusion and how India will actually use AI in education.
- [The Interface Has Become Human: Perplexity Computer and the Outsourcing of Digital Authorship](https://suchetanabauri.com/perplexity-computer-digital-coworker/): Somewhere between ‘ask a question’ and ‘ship a product / deliverable’, the modern knowledge worker began to thin out. Perplexity Computer arrives with a simple, unnerving promise: you no longer talk to an AI; you hand your work to it.perplexity, ai-corner. “Computer is not selling intelligence. It is selling absence.” Observation: A computer that works while you sleep How Computer is framed In the Perplexity Academy explainer, Computer is introduced with the confidence of a product that thinks it has renamed the category. This is not ‘Pro search’ or ‘Labs’ with nicer packaging. It is framed as “a new kind of […]
- [Claude Managed Agents vs the Rest: What These Launch Videos Really Tell Us About Developer Experience](https://suchetanabauri.com/claude-managed-agents-developer-experience/): Anthropic’s new Claude Managed Agents quietly shifts agents from a UI gimmick to a fully managed runtime. This teardown unpacks what that really means for developer experience, how it compares to OpenAI’s Agents SDK and Google’s Gemini for Workspace, and where the hidden costs and limits of “managed” agents actually sit.

## Pages

- [AI Experience Design](https://suchetanabauri.com/ai-experience-design/): Back to Services • AI Experience Design Design AI-enabled experiences that feel intuitive and earn trust. We help teams create AI-powered products and interfaces that solve real problems — designed for humans, built for trust, validated through research. • DELIVERABLES What you get from this engagement User Research Study how people interact with AI features. Identify friction points and mental models that impact adoption. What’s included Trust Frameworks Build AI experiences users can confidently rely on. Align AI outputs with human expectations through transparency. What’s included Interaction Design Design interfaces that make AI feel accessible. Move from opaque commands to fluid, collaborative […]
- [Adoption-training-service-page](https://suchetanabauri.com/adoption-training-service-page/): Back to Services •  THIS SERVICE Bridge the gap between AI access and team impact. Structured guidance, hands‑on workshops, and ongoing enablement that turn AI from a technical novelty into a core team capability your people actually use. •  DELIVERABLES What you get from this engagement Skills Gap Analysis A clear baseline of your team’s current literacy, tool exposure, and readiness for AI integration. This shows where capability is strong, where it is uneven, and where training will matter most. What’s included Change Management Strategy and communication to reduce friction, build buy‑in, and make AI feel like part of the way […]
- [Workflow & Operating Model Design for AI Adoption](https://suchetanabauri.com/workflow-operating-model-design/): Back to Services • OUR SERVICES Workflow & Operating Model Design. Redesign how your teams work so AI fits into daily execution without creating confusion or drag. Build systems that empower humans with AI tools. •  DELIVERABLES What you get from this engagement Process Mapping Map current workflows and identify where friction slows your team down. What’s included AI Tool Integration Embed the right AI tools at the right touch-points to augment human work. What’s included Resource Allocation Align your team’s capacity to new AI-augmented processes. What’s included Performance Metrics Define and track the KPIs that prove your operating model is working. […]
- [AI Strategy & Opportunity Mapping](https://suchetanabauri.com/ai-strategy-consulting-engagement/): Back to Services • THIS SERVICE Turn AI interest into a clear, actionable strategy. A structured engagement that maps high-impact AI opportunities to your business context, so you can move from exploration to execution with confidence. • DELIVERABLES What you get from this engagement Strategic Roadmap A prioritised map of AI opportunities ranked by impact and feasibility for your organisation. What’s included Use-case Prioritisation Structured evaluation of which AI use cases to pursue first, based on your data, team, and goals. What’s included Readiness Assessment An honest audit of your current data, tooling, and team capability against what each use case requires. […]
- [Services](https://suchetanabauri.com/ai-enablement-consulting-services/): •  WHAT I OFFER Clarity on what AI can do for your organisation. Each engagement is scoped to your context — whether you need a strategy, a redesigned workflow, or a trained team. •  DETAILED SERVICES AI enablement across strategy, teams, and execution AI Strategy & Opportunity Mapping Identify high-impact AI use cases that align with your business goals and practical readiness, moving past experimentation to sustainable value. What’s included Learn More Workflow & Operating Model Design Redesign how your teams work so AI fits into daily execution without creating confusion or drag. Build systems that empower humans with AI tools. […]
- [](https://suchetanabauri.com/): • AI ENABLEMENT CONSULTANT I help organisations adopt AI with clarity. I help startups and growing organisations design the strategies, workflows, and adoption systems that make AI genuinely useful — not just implemented. Strategy / Workflows / Adoption / Customer Experience Background and affiliations • HOW I WORK A practical path from AI interest to AI adoption 1. Assess We start by understanding your current state, workflows, goals, and where AI can create the most practical value. 2. Design Together, we define the right use cases, priorities, and approach needed to make AI work in your specific context. 3. Enable From […]
- [Under construction](https://suchetanabauri.com/homepage/): SUCHETANA BAURI Something new is coming I’m rebuilding this space to help organisations adopt AI with clarity. This site is being redesigned. In the meantime, feel free to reach out directly — I’d love to hear from you. contact@suchetanabauri.com © 2026 Suchetana Bauri

## Optional

- [Agent (MCP protocol)](websites-agents.hostinger.com/suchetanabauri.com/mcp)

[comment]: # (Generated by Hostinger Tools Plugin)