How to work with Claude like a pro

What Claude AI is and why pick it

Claude is an AI assistant built by Anthropic — a company founded by former OpenAI researchers with a mission to build the safest and most capable AI in the world. Unlike ChatGPT (OpenAI) or Gemini (Google), Anthropic has focused from the start on what it calls constitutional AI — an approach where the model is trained not just for performance but also for safety, accuracy, and nuanced reasoning.

In practice this means Claude excels where other models fall short: long context (200,000+ tokens — the equivalent of an entire book or hundreds of pages of documents), deep document analysis, code generation, strategic and analytical thinking. When you give it a 50-page financial report and ask it to identify anomalies, Claude does not just skim the beginning — it reads and understands the whole document.

When to reach for Claude vs the competition? Rule of thumb: Claude for depth — analytical tasks, long-document work, code, strategic planning. ChatGPT for breadth — quick answers to general questions or creative brainstorming. Gemini for Google ecosystem integration — when you work directly in Docs, Sheets, or Gmail. At PTR Group we use Claude as our primary tool for analytical and expert work.

5 rules for effective Claude AI prompting

Output quality from Claude is directly proportional to input quality. It is not magic — it is collaboration. Here are five rules that transform average results into exceptional ones.

1. Context is king

   Always tell Claude who you are, what you are working on, and what output you need. Claude has no access to your Slack, calendar, or head — you must give context explicitly. This single rule can double response quality.

Write an email to an investor.

You are the CFO of a 50-employee company in the automotive sector.

Write an email to our lead investor about Q1 results:
- Revenue +18 % YoY, EBITDA margin 14.2 %
- New strategic client brought EUR 340K
- Q2 outlook: expansion into the CZ market

Tone: professional but not formal, max 300 words.
End with a suggested meeting next week.

1. Be specific

   Vague input = vague output. This is the most common beginner mistake — and the easiest to fix.

1. Split complex tasks

   Do not ask Claude to do everything at once. A complex prompt like “analyze the market, draft a strategy, and write the full proposal” will lead to shallow output across all three areas. Break it into steps: analysis first, then strategy, then draft. Claude is strongest when it can focus on one thing at a time — just like a human expert.

2. Iterate

   The first output is a draft, not a final product. Nobody expects the first attempt to be perfect — and that goes for AI too. Feedback is the key: “This is good, but cut it by 30 % and add specific numbers” or “Rewrite the intro, it is too formal.” For important outputs plan for at least 2–3 rounds of refinement.

3. Give examples

   Show Claude the format, tone, and structure you want. One good example is worth more than 100 words of description. Claude is exceptionally good at pattern matching — when it sees an example, it replicates and adapts it with high accuracy.

Advanced techniques for working with Claude AI

System prompts and “persona”

One of the strongest techniques is to give Claude a persona — define a role, expertise, and perspective. Instead of a generic assistant you suddenly have a specialist:

You are a senior financial analyst with 15 years of experience in the Central European market.

Specialization: mid-market companies with €1–10M revenue.
Communicate directly, no filler.
Back every claim with data or benchmarks.
If you are not certain about something, mark it clearly.

Response format:
1. Executive summary (3-5 sentences)
2. Detailed analysis
3. Recommended action steps with prioritization

Claude + external tools

Claude is not an isolated chatbot — it can integrate into your whole tech stack. Through the Model Context Protocol (MCP), Claude can connect to your databases, APIs, and internal tools. Claude Code CLI lets developers work with Claude directly in the terminal. And through API integrations with platforms like n8n you can build automated workflows where Claude processes data, generates reports, or replies to emails without manual intervention.

Processing long documents

With a 200,000+ token context window, Claude can work with extensive documents at once — contracts, legislation, annual reports, internal manuals. Upload the whole document and ask. Practical tip: start with summarisation (“Summarise the main points in 10 bullets”), and only then dive into specific section details.

Prompt chaining

Prompt chaining is a technique where the output of one prompt becomes the input for the next. You create a chain of steps where each builds on the previous one:

Step 1: "Analyse the Central European e-commerce market 2025-2026.
         Identify 5 main trends with data."

Step 2: "Based on the trends from step 1, evaluate which
         3 are most relevant to a company with €2M revenue
         in the premium food segment."

Step 3: "For the top 3 trends, propose a concrete go-to-market
         strategy. For each: action, timeline, budget, expected ROI."

Step 4: "Prepare an executive summary (max 1 page) for
         the board meeting."

Claude Skills: Repeatable workflows in one click

If you use Claude Code (CLI or desktop app), one of the strongest features is Skills — custom commands triggered with a slash (/skill-name). A Skill is essentially a saved prompt with instructions that Claude loads and follows. Think of it as a macro or template for recurring tasks.

# Project rules

## Tech stack
- Next.js 16, React 19, Tailwind CSS v4
- Framer Motion for animation
- Vitest + Playwright for testing

## Conventions
- All text in the project language
- Components in components/, content in lib/content.ts
- Read existing code before every change

## What NOT to do
- Do not restart the dev server
- Do not add unnecessary abstractions
- Do not commit without permission

The CLAUDE.mdfile in your project root is loaded automatically by Claude in every conversation. You do not have to repeat the same instructions — Claude “remembers” them across all sessions.

Planning-Execution Flow: Think first, act second

The biggest mistake when working with Claude? Jumping straight into execution. “Build me a CRM system” or “Prepare my whole financial strategy” — without a plan you get a shallow result. Pros use planning-execution flow — a structured cycle where planning and execution are separate phases.

1. Brainstorm — define the problem

   Start by describing the situation and asking Claude for analysis. You do not want a solution yet — you want understanding of the problem.

2. Design — propose a solution

   Based on the analysis, have Claude propose 2-3 approaches with trade-offs. Discuss them — ask “what if”, “what are the risks”, “what would fail first.”

3. Plan — break into tasks

   When you have direction, have Claude break the solution into concrete, measurable steps. Each step should be small enough to verify.

4. Execute — one step at a time

   Now execution — but one task at a time. Claude executes, you validate. After each step: “Summarise what you did and what is next.”

5. Review — verify and iterate

   After completing the whole plan, do a review. “Compare the output with the original brief. What is missing? What would you improve?”

What to avoid

Our recommended workflow

After hundreds of hours of working with Claude, we have developed a 5-step workflow at PTR Group that consistently delivers the best results.

1. Define the goal and context

   What exactly do you need? Who is the output for? In what format? Write the answers in one paragraph — that will be your opening prompt.

2. Prepare materials

   Gather all relevant documents, data, examples, and references. Claude only works with what you give it — better materials mean better output.

3. Submit the task with instructions

   Frame the specific task with context, required format, and an example. Apply all five rules from the previous section.

4. Iterate and refine

   Minimum 2–3 iterations for any important output. The first draft gives you direction — then correct, refine, and add requirements.

5. Implement and verify

   Claude's output is a draft, not a final product. Review it, verify facts, adjust tone, and add your own expertise. AI gives you 80 % — you add the final 20 % that makes the difference.

How we use Claude AI at PTR Group — real use cases

Theory is nice, but what do we actually do? Five concrete cases where Claude fundamentally changes how we work — and how we deploy it for clients as part of AI implementation.

Financial report analysis

Every week we analyse 50+ pages of financial statements for our clients. Results always go through our analysts — but Claude does 80 % of the analytical heavy lifting in minutes instead of hours.

Code generation and automation

Our n8n workflows and API integrations are co-built with Claude. Code that would take a team a week, we ship in a day. We use Claude Code CLI directly in the terminal.

Business proposal preparation

Personalised proposals for clients with analysis of their specific pains and proposed solutions. The salesperson then spends time on what they do best — the personal relationship and final polishing — instead of hours over a blank document.

Due diligence and audit

For deep-dive audits we use Claude to analyse process maps, identify bottlenecks, and propose optimisations. What a human auditor would search for days, we have in hours — and the output is structured and consistent.

Customer communication

Email templates, follow-ups, onboarding materials — all personalised for the specific client. Result: faster customer responses, more consistent tone, and more time for work that genuinely requires human judgement.

AI is not a replacement for expertise. It is a multiplier of expertise. A person who understands the business and knows how to use Claude is 10× more productive than the same person without it.