Build with Anthropic

What we can build with Anthropic

ShooflyAI uses Anthropic's Claude models for agents that handle long documents, careful multi-step reasoning, and tasks where following instructions precisely matters. Everything runs inside the client's environment under their ownership.

These are example builds, not client case studies. We scope the real build to your stack and put an ROI estimate on it in an Operating Assessment first.

Quick answer

With Anthropic Claude you can build AI agents that read full contracts and policy manuals in one pass, reason carefully through multi-step tasks, cite sources, and act in your systems through tool use, with people approving the judgment calls. Anthropic provides the building blocks: the Claude models, the Claude Agent SDK, and tool use. ShooflyAI turns those into a finished agent scoped to your stack and your processes, grounded in your real documents and wired into your CRM, docs, and databases, with human review where accuracy and tone matter. The point is ownership. Your company keeps the agent code, prompts, workflow logic, data, and IP outright, with no revenue share and no lock-in to us.

10 ways to use Anthropic with AI agents

  1. Analyze long documents end to endThe agent reads entire contracts, reports, or filings in one pass and surfaces key points and risks for review.
  2. Draft careful client communicationsIt produces well-toned emails and updates grounded in your context, leaving the final send to a person.
  3. Review policy and compliance docsThe agent checks documents against your internal rules and flags passages that need a human decision.
  4. Build a grounded internal assistantIt answers staff questions from your knowledge base and cites the exact source it relied on.
  5. Synthesize many sources into a briefThe agent reasons across several long inputs and writes a structured summary a reviewer can trust.
  6. Act in your tools via tool useIt calls your systems to update records, create tasks, or fetch data as part of a multi-step workflow.
  7. Redline and suggest doc editsThe agent proposes tracked changes and rationale on drafts for a person to accept or reject.
  8. Extract structured fields reliablyIt pulls clean, validated data from messy documents while flagging anything ambiguous.
  9. Triage inbound requests thoughtfullyThe agent classifies and routes incoming work, explaining its reasoning so people can trust the routing.
  10. Run a careful research workflowIt gathers inputs, reasons step by step, and returns a sourced answer with stated confidence.

Using Anthropic on its own vs. a custom ShooflyAI agent

Dimension Anthropic Claude API and Claude Agent SDK Custom ShooflyAI agent
Setup You build the agent loop, tools, and prompts We deliver a finished, grounded agent for you
Handles your multi-step workflows Strong reasoning; you design the steps yourself Built to run your specific multi-step processes
Works across your other systems Tool use exists; you build each integration Connected to your documents and systems for you
Who owns and maintains it You own whatever you build on the API You own code, prompts, and IP; we can maintain
Cost model Per-token API pricing on your own build Project build plus the underlying model usage

Frequently asked questions

What is Claude especially good at for agents?

Claude handles large amounts of context well and tends toward careful, well-structured reasoning, which makes it strong for document-heavy analysis, drafting, and workflows where accuracy and tone matter.

Can a Claude agent run inside our existing software?

Yes. Through tool use and the API, the agent reads from and writes to your CRM, docs, ticketing, and databases, so it operates inside the systems your team already uses.

Do we own the Claude agent ShooflyAI builds?

Yes. Anthropic provides the model, but your company owns the agent code, prompts, workflow logic, and all of your data and IP.

How does a Claude agent avoid making things up?

ShooflyAI grounds agents in your actual documents and instructs them to cite sources and flag uncertainty, with a human reviewing outputs before they are acted on.

Is Claude a good fit for sensitive or regulated work?

Claude's careful reasoning style suits review-heavy and compliance-adjacent tasks. ShooflyAI keeps a human in the loop and configures the agent to your data and approval requirements.

Want to see what we would build for you?

We start with an Operating Assessment that maps your highest-value workflows and puts a hard ROI estimate on them before any build. You own the code, the data, and the IP.

Get your Operating Assessment →

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