Boosty
AnthropicPLATFORM · CLAUDE BY ANTHROPIC

Claude reasons before it answers. And leaves the reasoning in plain sight.

Claude is the judgment engine in the systems we build: it thinks step by step, uses tools, reads documents and prepares the decision; whatever commits money is decided by a person. We work with Anthropic’s deployment standard, and that gives us first-hand access to its safety criteria.

We work with companies in Venezuela, the Dominican Republic, Mexico, Colombia and the US Hispanic market.

Claude PartnerOpus 5On your current stack
claude · extended thinking · effort: high Opus 5

› is this deal at risk?

reasoning…
step 0 / 6the why, visible — not a black box

WHAT MAKES CLAUDE DIFFERENT

The capabilities we use inside the systems we build

This is what Claude does inside a custom-built system, shown with demo data in each panel. Tap each one.

Opus 5 · effort: low → max

Thinks before responding — and shows you how

The effort parameter (from low to max) adjusts how much Claude reasons before answering. For qualifying a lead, low. For auditing a contract, max. The reasoning stays in view for whoever reviews it.

claude · thinking

› problem: is this deal at risk?

‹ thinking› 28 days in negotiation vs 9 avg.

‹ thinking› competitor cited in last note

‹ thinking› profile matches lost deals

✓ verdict: high risk · escalate to manager

EXTENDED THINKING · EFFORT PARAMETER

You decide how much it thinks. Move the effort.

Same problem —auditing a penalty clause— at different effort levels. More depth costs more latency: you use it where the decision warrants it.

effort

latency2.8s
claude.audit(contract) · effort=high

› audit the late-payment penalty clause

4 reasoning stepsmore effort = more depth, not more words

MODEL CONTEXT PROTOCOL

It stops being a chatbot. It becomes a hub.

Over MCP, Claude connects to your core, CRM, Drive, Slack or Stripe without us writing a client for each one. It discovers the available tools and uses them.

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

› claude discovers 6 MCP servers

▶ core.getClient(4821)

crm.updateStage(deal, "Closing")

drive.read(contract.pdf)

slack.notify(#sales)

stripe.createInvoice(...)

github.openPR(fix)

zero glue code · on your real stack

THE FAMILY

The right model for each job

We choose the model by job: speed where volume matters, depth where judgment matters.

Claude Opus 5

The brain. Deep judgment and complex code.

Where we use it

Contract auditing, multi-step reasoning, agents that decide.

Claude Sonnet 5

The workhorse. Balanced judgment/speed.

Where we use it

Lead classification, drafting, document validation at scale.

Claude Haiku 4.5

The fast one. High volume, low latency.

Where we use it

Real-time tagging, triage, massive instant responses.

The criterionOpus 5 where the decision calls for depth; Sonnet 5 for the bulk of operations; Haiku 4.5 for real-time volume.

CLAUDE IN ACTION

Watch it from the official source

Official Anthropic Labs demo, published on their channel. It shows the model family we use inside the systems we build.

Official Anthropic video · embedded via YouTube

Official Anthropic channel

AnthropicBOOSTY × ANTHROPIC

Claude Partner, working with Anthropic’s deployment standard.

In practice, the standard turns into what a committee can review: a written usage policy, autonomy levels per tool, human oversight on whatever commits money, evaluations before publishing and a reversal plan for every agent.

  • Claude Partner
  • Google Partner
  • Meta Business Partner
  • Claude systems across eight industries
  • Implementation on your current stack
Claude Partner · Claude Code

Anthropic deployment standard

boosty.digital × claude

AnthropicClaude Partner · Claude Code

“We work to the Anthropic deployment standard, and that gives us first-hand access to its safety criteria.”

8 industries· Claude Opus 5 / Sonnet 5 / Haiku 4.5· on your stack

WHAT WE BUILD WITH CLAUDE

The same engine, with each industry’s rules

Automotive · what Claude does

Scoring and classification of dealership prospects

Lead scored the moment it arrives · pipeline ordered by probability

Gabriel Montiel, CEO of Boosty Digital

A NOTE FROM THE CEO

Picking the model is the first step. The real work is deciding what it may do on its own, how far, and what has to wait for a person. That decision belongs to the company’s leadership, and then it is written into the system.

We work with Anthropic's deployment standard because it demands of us the same thing we ask of a client: a written policy, autonomy levels per tool, evaluations before publishing, and a reversal plan. Claude reasons and leaves the reasoning in plain sight; the rest is architecture.

If you want to see what this would look like on your operation, we look at it together, you and me. You bring a real process and we tell you what we would order first, what we would build and what we would measure.

Gabriel Montiel's signature

Gabriel Montiel

CEO · Boosty Digital

Applied AI Professor, UCABIndustrial EngineerMBA

Frequently asked questions about Claude with Boosty

Because in B2B the requirement is judgment you can review. Claude reasons step by step and leaves the reasoning in view, says when a piece of data is not in its sources, and Anthropic is an AI safety company whose deployment standard we follow. That matters when the system prepares decisions 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 5 for deep judgment (auditing, deciding agents), Sonnet 5 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.

That every system ships with what the standard asks for: a written usage policy, autonomy levels per tool, evaluations before publishing and a reversal plan. It gives us first-hand access to safety criteria, and those criteria are applied to your operation from the assessment onward. On this site you will see it next to the official Claude Partner badge.

Scope and model are defined in the assessment. Model cost is controlled by choosing Haiku, Sonnet or Opus per task; the rest depends on what gets built first and on what volume. Book 30 minutes and we put it in writing.

The first live system on your operation — classification, reasoning and one integration — goes live when it passes its evaluation cases. The pattern already exists and is adapted to your process. Dates are set in the assessment, with your team.

GET STARTED

Ready to put Claude to work on your operation?

Book a 30-minute assessment with Gabriel. Bring a real case and we look at it with Claude reasoning live, every step in view.

✓
Assessment of your use cases with Claude
✓
Design of the first agents adapted to your operation
✓
Implementation plan with Anthropic Claude

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