Artículos de fondo del equipo de Software Tailor sobre cumplimiento en IA regulada, patrones de despliegue on-premises, nuestros productos y la evolución del sector que los condiciona. Cada afirmación cuenta con su fuente; cada artículo lleva fecha y se actualiza cuando los hechos subyacentes cambian.
El AI Omnibus entró en vigor el 27 de julio de 2026 y trasladó las obligaciones de alto riesgo al 2 de diciembre de 2027. Las obligaciones no cambiaron, solo la fecha — y 16 meses dan para un cambio de arquitectura, no para dos.
The sticky routing strategy maps each caller to a preferred worker by an identity hash, so multi-turn chats keep landing on the box where the model is loaded and the prompt cache is hot — a deterministic mapping with no session table to replicate.
Mark a worker canary and give the pool a percentage: that share of callers, assigned consistently by identity hash rather than per-request coin flips, prefer the canary while everyone else stays on stable — and the two groups remain each other's failover.
Per-worker concurrency limits keep each GPU box in its sweet spot. A saturated worker is skipped; a fully saturated pool returns 503 with Retry-After immediately — honest backpressure instead of a silently growing queue that ends in a thrash or an OOM.
A served AI Server deployment's security posture in plain statements: fail-closed serving, keys hashed at rest, two credential tiers in a farm, forwarded pseudonymous identity, fingerprint pinning, and private TLS to workers — the default behavior a security review reads.
Every AI Server hosts a live dashboard and native Prometheus metrics, and its content-free audit attributes each request to app, install, and serving worker — so per-team, per-app chargeback is native data, no metering sidecar required.
A gateway that discovers its workers over mDNS on the local network, so scaling a small site is plugging in a prepared box — it advertises itself, the gateway probes it, and within a health-check cycle it is serving. Static core and dynamic discovery compose.
Serve both generations at once during a migration: modern OpenAI-compatible clients on the governed primary port, and pre-v2 clients on a scoped compatibility listener that carries a compiled sunset date — no flag-day, no broken scripts.
The compliance-hardened deployment: region-aware governance that fails closed where content scanning is mandated, on-device moderation, per-key quotas and budgets, and a content-free, signed audit an external auditor can verify offline, independently.
Upgrade workers and the gateway while traffic keeps flowing. A draining /readyz probe, a configurable drain hold, and gateway failover cover the requests racing the drain — no maintenance window.
Run one AI Server on the office GPU box and serve every workstation on the LAN over an API-key-authenticated endpoint. The model loads once, the data never leaves the building, and there are no per-token bills.
Run AI Server as one container on a cloud VM or any Docker host: configured entirely by environment variables, with /livez and /readyz probes and JSON logs so orchestrators manage it correctly. The image is the artifact; the volume is the state.
Every AI Suite app creates one loopback AI Server on your machine. It binds 127.0.0.1 only, needs no keys or licence, and shares one model in memory across every app on the box — the zero-exposure default worth understanding before anything is networked.
A farm whose workers carry different model sets. The gateway routes each request to a box that already has the model warm, and advertises the union of every worker's models as one catalog — so callers see one model list and placement is the gateway's problem.
One URL and one key in front of a pool of worker AI Servers: health-checked load balancing, transparent failover, model-aware routing, and Kubernetes auto-discovery — with no vendor cloud in the request path.
A ground-up rebuild of the shared engine behind AI Suite: host, download and run the AI models every app uses — one download, one library, one set of keys, used everywhere. Free serves this machine; Pro serves your whole network with governance. Free on Windows from the Microsoft Store.
Every Software Tailor AI app — Chatbot, Translate, Rewrite, Notepad, PDF Reader, Image Generation and more — in one window, with the local AI engine built in. Each app keeps its own model and history; your work stays on your device, saved encrypted. Free on Windows from the Microsoft Store; one Pro subscription unlocks the whole suite.
The full private AI chat for Windows: multi-session chats, folders, a prompt library, conversation branching, document chat and durable memory — all free on a local model that works offline, with encrypted on-device history. Pro adds tool use, Agent mode and larger or cloud models. Your existing chats and prompts upgrade in place. Free from the Microsoft Store.
Type a prompt and an original picture appears on your own PC — a built-in FLUX.2 [klein] model, negative prompts, seeds, batch generation and a private encrypted gallery. Free at 512×512; Pro unlocks larger sizes, custom steps and optional bring-your-own-key cloud. Free on Windows from the Microsoft Store.
A photo assistant that turns a folder of pictures into a searchable collection — AI captions, object detection, OCR, opt-in face grouping and semantic search, all on your device. Organise, annotate and remove backgrounds. Free on Windows from the Microsoft Store.
A ground-up rebuild: pick a model, type, and a local AI model streams the reply back on your own device — with an encrypted local history, find and search, and two simple context controls. Deliberately slim. Free on Windows from the Microsoft Store.
A ground-up rebuild built for reasoning models that think step by step — maths, logic, code — with a collapsible Thinking panel showing the chain-of-thought and a larger reply budget so answers aren't cut off. Free DeepSeek R1 model. Free on Windows from the Microsoft Store.
Type any text and hear it spoken in a natural voice — and clone a voice of your own from a short clip — right on your device. Offline by default, encrypted at rest, with a seekable player and WAV/MP3 export. Free on Windows from the Microsoft Store.
A simple notepad that formats itself as you write — plain text to Word, automatically — with on-device AI writing help, ask-your-document Q&A with citations, ask-across-all-open-documents, annotations and a readable dark editor. Free on Windows from the Microsoft Store.
Turn speech into text on your device — from your microphone, your computer's audio, or an audio file. Export subtitles, replay and re-transcribe recordings, keep an encrypted local history. Free on Windows from the Microsoft Store.
A ground-up rebuild: paste or import text, choose an action, tone and length, and a local AI model rewrites it on your device — with match-my-style, document import and an encrypted local history. Free on Windows from the Microsoft Store.
A ground-up, cross-platform rebuild: open a PDF and ask questions answered on-device, with clickable page-exact citations — in a full reader with annotations and bookmarks that travel in the file. Windows, macOS, Linux, plus a headless CLI/MCP server.
La arquitectura de IA empresarial ha cambiado sus valores por defecto en 24 meses. Las obligaciones del deployer bajo la EU AI Act, la orientación del NIST AI RMF para infraestructuras críticas y los datos de ciclo de venta de a16z apuntan en la misma dirección: residency-first es el nuevo cloud-first.
Software Tailor ha entregado software personalizado durante 19 años sin un solo fracaso de proyecto. Cuatro reglas de ingeniería sostienen el historial. Voz del fundador sobre la disciplina detrás del número.
El AI Policy Observatory de la OCDE rastrea políticas de IA en más de 80 jurisdicciones. El AI Policy Toolkit de junio de 2026, la fusión GPAI–OCDE y el omnibus de la EU AI Act son las tres señales que importan a los equipos de compras en la empresa.
AI Admin Console expone seis capacidades: Miembros, Licencias, Alta de AI Server, Política, Auditoría y Uso por organización. Cada una responde a una pregunta concreta que los equipos de compras y cumplimiento plantean bajo las obligaciones del deployer de la EU AI Act y el NIST AI RMF.
Cada acción administrativa en AI Suite aterriza en una fila JSONL de auditoría con marca temporal, actor y acción, y ningún contenido de prompt ni de respuesta. El deployer conserva el contenido; nosotros conservamos la prueba de que la acción ocurrió.
Las compras de IA en empresa se atascan por las obligaciones del deployer, no por la tecnología. Las propiedades de la arquitectura de despliegue que resuelven el atasco en 2026, y por qué «tenemos SOC 2» es la respuesta equivocada a la pregunta que ahora plantean los equipos de cumplimiento.
Las obligaciones del deployer para sistemas de alto riesgo de la Ley se aplican por fases a lo largo de 2026. El despliegue on-premises no elude la regulación, pero cambia qué obligaciones es práctico satisfacer y cuáles el SaaS en la nube no puede satisfacer en absoluto.
Inferencia local, auditoría controlada por el cliente y un proceso de compra que ya existe. Tres razones estructurales por las que los productos de IA de Software Tailor son instaladores de escritorio y no un tenant en nuestra nube.
Se añaden más artículos mensualmente. El catálogo completo, incluido el backlog de próximos a escribir, se mantiene en nuestro repositorio.
Si hay una regulación, un patrón de despliegue o una cuestión sectorial sobre la que le gustaría que escribiéramos, díganoslo. Escogemos un nuevo artículo cada mes.