Boosty
AnthropicPLATFORM · CLAUDE BY ANTHROPIC

It's not a chatbot. It's judgment that reasons before it responds.

Claude is the engine behind every system we build. It thinks step by step, uses tools, reads documents and decides — with the safety and honesty Anthropic built into its core. Boosty is an Anthropic Partner and deploys it on your operation.

Partner de AnthropicOpus 4.7Sobre tu stack actual
claude · extended thinking · effort: high Opus 4.7

› ¿este deal está en riesgo?

razonando…
paso 0 / 6el porqué, visible — no una caja negra

WHAT MAKES CLAUDE DIFFERENT

The capabilities we use in production, today

Not theory: this is what Claude does inside the systems Boosty already runs. Tap each one.

Opus 4.7 · effort: low → max

Thinks before responding — and shows you how

The effort parameter (low/medium/high/max) adjusts how much Claude reasons before answering. For qualifying a lead, low. For auditing a contract, max. The reasoning is visible, not a black box.

claude · thinking

› problem: is this deal at risk?

‹ thinking› 28 days in negotiation vs 9 avg.

‹ thinking› competitor cited in last note

‹ thinking› historical pattern: 71% lost

✓ verdict: high risk · escalate to manager

EXTENDED THINKING · PARÁMETRO DE ESFUERZO

Tú decides cuánto piensa. Mueve el esfuerzo.

Mismo problema —auditar una cláusula de penalización— a distintos niveles de esfuerzo. Más profundidad cuesta más latencia: la usas donde la decisión lo amerita.

effort

latencia2.8s
claude.audit(contrato) · effort=high

› auditar cláusula de penalización por mora

4 pasos de razonamientomás esfuerzo = más profundidad, no más palabras

MODEL CONTEXT PROTOCOL

Deja de ser un chatbot. Se vuelve un hub.

Vía MCP, Claude se conecta a tu core, CRM, Drive, Slack o Stripe sin que escribamos un cliente para cada uno. Descubre las herramientas disponibles y las usa.

ClaudeMCP host
Tu core / ERP
CRM
Drive
Slack
Stripe
GitHub
claude · mcp · tool calls

› claude descubre 6 servidores MCP

core.getCliente(4821)

crm.updateStage(deal, "Cierre")

drive.read(contrato.pdf)

slack.notify(#ventas)

stripe.createInvoice(...)

github.openPR(fix)

cero glue code · sobre tu stack real

THE FAMILY

The right model for each job

We don't use the most expensive for everything. We choose by job: speed where volume matters, depth where judgment matters.

Claude Opus 4.7 · ideal paraContract auditing, multi-step reasoning, agents that decide.

CLAUDE IN ACTION

Watch it from the official source

Official Anthropic Labs demo. What you see here is what we connect to your operation — not a mock-up of ours.

Video oficial de Anthropic · embebido vía YouTube

Canal oficial de Anthropic

AnthropicBOOSTY × ANTHROPIC

We don't just use Claude. We're an Anthropic Partner.

That means access, best practices and a team that has taken Claude to production in 8 different industries — not a pilot, systems that run every day.

  • Anthropic Partner
  • Google Partner
  • Meta Business Partner
  • 8 industries in production with Claude
  • Implementation on your current stack
Anthropic

Anthropic Partner

boosty.digital × claude

“No estás contratando a alguien aprendiendo con tu proyecto. Estás contratando el patrón ya validado en producción.”

8 industrias· Opus 4.7 / Sonnet 4.6 / Haiku 4.5· sobre tu stack

WHAT WE BUILD WITH CLAUDE

Same engine, eight industries, zero smoke

Automotive · qué hace Claude

Scoring and classification of dealership prospects

Lead scored in 4s vs 8 min manual · pipeline ordered by real probability

Frequently asked questions about Claude with Boosty

Because in B2B the requirement isn't 'sounds good', it's reliable judgment under pressure. Claude reasons step by step in a visible way, is honest when it doesn't know (doesn't hallucinate with confidence) and Anthropic is an AI safety company. That matters when the system decides about money, policies or patients.

No. Claude is a judgment layer that lives on top of the stack you already have. Via MCP or API it connects to your core, CRM or ERP. Your team keeps working where they already work — now with a copilot that reasons.

No. API/enterprise use of Anthropic does not train models with your data. We implement with the privacy and retention controls your industry requires; in regulated sectors we define the deployment mode with you.

Whichever the job calls for. Opus 4.7 for deep judgment (auditing, deciding agents), Sonnet 4.6 for the operational bulk (classification, drafting, validation) and Haiku 4.5 for real-time volume. It's almost always a mix, optimized by cost and latency.

It's Claude's ability to think step by step before responding, with an effort parameter (low→max). In practice it means you can ask for depth when the decision warrants it and speed when it doesn't — and always see the why behind its conclusion.

Early access, best practices and a team that has already taken Claude to production in 8 industries. You're not hiring someone learning on your project: you're hiring the already-validated pattern.

Setup + monthly fee + variable usage cost (tokens, cents of USD per operation). Model cost is optimized by choosing Haiku/Sonnet/Opus per task. In the 30-min assessment we give you the exact range on your real volume.

Typically 3-4 weeks for the first live system on your operation (classification + reasoning + one integration). The pattern already exists; we adapt it, we don't invent it from scratch.

GET STARTED

Ready to put Claude to work on your operation?

Schedule a 30-minute assessment with an Anthropic Partner. We bring a real case of yours and show Claude reasoning live. No theater.

Diagnóstico de tus casos de uso con Claude
Diseño de primeros agentes adaptados a tu operación
Plan de implementación con Anthropic Claude

Sin spam. Respondemos en menos de 24 horas hábiles.