LLM Migration Consulting: Switch Models Without Breaking the Product
A buying guide for teams moving a live AI workflow to another model, provider or API without treating technical compatibility as product parity.
Seuil Digital / Field notes
Product strategy, interface design, AI systems, search, and the operational details that decide whether a digital product works.
A buying guide for teams moving a live AI workflow to another model, provider or API without treating technical compatibility as product parity.
A practical reading of Vercel Tracing GA, including search, CLI workflows, default collection for new Next.js projects, retention and sampling limits.
A buying guide for teams that need repeatable evidence about an AI product, not a one-off benchmark that cannot support a release decision.
A practical guide to Vercel Schedules, including static and dynamic jobs, private targets, Queue delivery, timing limits, pricing and a safe migration test.
A buying guide for teams that need AI governance to change approvals, evidence and operating decisions across real products, not end as a policy deck.
A practical reading of Vercel Security Review, including its push-triggered code analysis, GitHub findings, cost model, contractual limits and a safe first test.
A buying guide for teams that need an AI product to find, cite and respect the right internal knowledge instead of producing a convincing demo on five documents.
A practical reading of Vercel's automatic npm package block, including when it runs, what a failed deployment means and which supply-chain controls remain necessary.
A buying guide for teams that need to modernize a live application without losing critical workflows, data, search visibility or a credible route back.
A practical reading of Vercel's new HTTP liveness probes for Daemons, including defaults, restart semantics and the worker design they require.
A buying guide for teams that need to choose between competing digital investments and turn the decision into a roadmap they can revise with evidence.
A practical reading of the shared AI training preference announced on October 30, including the draft token, provider timelines and controls that remain necessary.
A buying guide for product teams that need trustworthy behavioral evidence, clear ownership and a repeatable path from question to decision.
A practical guide to Vercel's Data Cache migration, including plan dates, usage pricing, cache behavior and the evidence teams should collect before opting in.
A buying guide for teams that need to resolve one product decision with a prototype, user evidence and an explicit next step.
Vercel teams can now log or block AI crawlers and user-triggered assistants separately, making content access policies more precise.
A buying guide for turning a validated product direction into the smallest safe production release that can generate useful evidence from real use.
ServiceNow can now expose governed workflow actions inside ChatGPT. The first useful test is a reversible action with visible permissions, approval and audit evidence.
A practical buying guide for turning a risky product idea into tested evidence before a team commits to production design and development.
Vercel now shows which pages AI crawlers and assistants request. The new counts reveal access and retrieval, not citations, human visits or business outcomes.
A practical buying method for adding AI to an existing product or workflow without confusing a convincing model demo with a production-ready integration.
Vercel now lets an AI investigation decide whether a monitor alert is Critical before sending it to a paging webhook. Teams still need a safe pilot and bypass.
A practical method for comparing teams that design and build authenticated web applications with real data, roles, integrations and operating responsibilities.
Vercel now creates and stores restricted Stripe keys for individual agents or tasks. Permission design, approvals and revocation still belong to the product team.
A practical guide to scoping an action-taking AI agent, comparing agency proposals and keeping people in control of consequential work.
The Decisions API turns shared evidence into typed probabilities, choices and scores. Product teams still need thresholds, review rules and outcome tests.
A practical buying guide for turning a product disagreement into focused research, credible recruitment and decisions the delivery team can use.
Google documented the current Indexing API limits and approval process, but eligibility remains restricted to job posts and livestream events.
A practical method for scoping, buying and accepting performance work with real-user evidence, reproducible diagnosis and durable release controls.
Vercel can now keep pull-based container workers running beside an app, but teams still own job safety, scaling decisions and production evidence.
A practical buying and delivery method for website analytics that connects business decisions to tested events, useful reports and accountable owners.
Figma's new code-backed prototypes can shorten design and engineering feedback, but teams still need explicit production, accessibility and exit checks.
A practical operating model for design system ownership, contributions, exceptions, releases and deprecation, with clear buying criteria.
W3C's new attribution draft proposes aggregate, differentially private advertising measurement. Teams should test decisions, not rush a migration.
A practical method for auditing an AI product as a complete decision loop, with reproducible cases, production evidence and clear release choices.
Anthropic reported new defenses against model distillation. Their product impact is visible in conversation history, model fallbacks, errors and cost controls.
A practical guide to buying ongoing website support as an operating system with three work queues, explicit evidence and clear ownership.
Vercel is expanding deployment storage billing and moving Pro retention to 30 days. Teams should review rollback history before deletion begins.
A practical guide to turning accessibility findings into durable product changes, verified journeys and a release process that prevents the same barriers returning.
Anthropic documented four kinds of unintended actions by Claude. The practical response is a smaller tool surface, stronger containment and observable stop conditions.
A practical buying guide for finding a product design partner that can turn a user problem into a tested, accessible and measurable release.
Vercel added an agent-guided domain buying flow to its CLI on October 9. The useful boundary is between automated preparation and human commitment.
A buying guide for choosing a conversion optimization partner that can connect research, measurement and production changes to a real business decision.
Anthropic published a Usage Policy update on October 8. The practical task is to convert its clarified rules into product requirements before November 12.
A buying guide for comparing CMS migration partners without sacrificing search visibility, content integrity, editorial work or operating control.
OpenAI now lets GPT-6 compose interactive answers in ChatGPT. The practical change is a larger evaluation surface, not the disappearance of product design.
A practical buying guide for comparing Next.js partners through route decisions, security boundaries, acceptance evidence and operating ownership.
Anthropic launched a nomination-only programme that moves engineers from a simulated deployment into a real company AI project and final assessment.
A practical method for turning every current page into an evidence-based content and migration decision before design work begins.
Vercel will stop collecting new FID measurements on November 1. Existing data stays visible, while INP remains the useful interaction metric.
A practical AI PRD method that connects one business workflow to data, evaluation cases, human control, operations and a release decision.
Next.js shipped seven security fixes on September 30. The useful response is a short patch release, followed by checks that match the app's actual configuration.
A practical method for turning a vague website request into decisions, evidence, responsibilities and tests a studio can price and deliver.
Mozilla's latest Firefox redesign restores compact controls, unifies its visual language and shows how a mature product can change without erasing user choice.
A practical guide to designing AI products that show their work, ask before consequential actions, accept correction, and recover without drama.
The W3C recap does not announce a new standard. It does expose the practical work between a generated screen and a product people can trust.
A practical buying guide for testing whether an AI workflow deserves investment, without confusing a polished demo with a viable product.
New memory charts expose how close sandbox sessions run to their ceiling. The useful next step is correlating those numbers with tasks, failures, and cost.
A buyer's guide to finding costly journey friction without paying for a decorative list of interface opinions.
The latest WCAG 3 model separates a single core conformance level from progress and beyond-conformance reporting. It remains a draft.
A buyer's guide to auditing the real system across design, production code, product usage, team workflows, and measurable release risk.
Persistent directories can now survive sandbox runs. The product decision is what state to keep, who may change it, and how to recover safely.
A buyer's guide to scoping a technical SEO audit around page groups, business risk, reproducible evidence, and fixes a delivery team can actually verify.
Vercel now manages the Teams bot connection and event delivery. Product teams still own permissions, conversation boundaries, evaluation, and safe actions.
A buyer's guide to turning a product discovery workshop into evidence, tested assumptions, and a clear build, change, or stop decision.
OpenAI's new analytics connect AI activity to tasks and work signals. Teams still need baselines, quality guardrails, and business context to judge value.
A buyer's guide to scoping an accessibility audit, comparing proposals, turning findings into owned fixes, and proving that remediation worked.
Vercel can now expose selected server-side MCP tools to in-browser agents. The useful pilot is narrow, read-only, evaluated, and explicit about trust boundaries.
A practical framework for deciding what to preserve, what to change, what evidence to collect, and how to buy and launch a redesign without avoidable damage.
Figma's new node turns a designed frame into a controlled workflow input. The opportunity is repeatable production, but the operating model still needs human review.
A practical buying guide for founders and product leaders comparing studios, agencies, freelancers, and internal delivery for an AI-enabled product.
Vercel's September 2026 Production Index shows production traffic moving across model families. The practical lesson is to design model choice as an evaluated product capability.