Here's how I replaced expensive consultants this mega prompt in Claude (Steal it):
Forrester makes you:
- Fill out forms
- Book discovery calls
- Wait weeks for a 90-page PDF
Claude gives you real-time, tailored market research in under 2 minutes.
Here’s what I asked it:
Prompt we use in Claude:
(Copy/paste)
You are a senior industry analyst with access to up-to-date market research, expert commentary, and global trend data. Act as an AI research analyst for a company exploring [market_or_sector]. Generate a full strategic market intelligence report designed for executive decision-making.
[e.g. AI productivity tools, B2B fintech in LATAM, consumer health apps, etc.] [e.g. Global, North America, APAC, etc.] [e.g. SMBs, enterprises, solo creators, healthcare providers, etc.] [e.g. Launch product in new market, analyze competition, raise capital, validate market size, etc.]
Structure the output like a high-value analyst report, including:
1. Market Sizing
- Estimated TAM/SAM/SOM with region-specific breakdown
- CAGR and revenue projections (5-year outlook)
- Source citations or rationale for assumptions
2. Trend Analysis
- Top 5 emerging trends in this sector
- Technologies, regulations, or behavior shifts driving change
- Trend maturity and adoption stage
3. Competitive Landscape
- Visual competitor matrix (x/y axis model)
- Breakdown of direct vs. indirect competitors
- Strengths/weaknesses per major player
4. Buyer Intelligence
- Primary buyer personas (B2B/B2C depending on input)
- Decision journey and budget triggers
- What incumbents are missing in their GTM
5. Risks & Barriers
- Macro, tech, and regulatory risks
- Common go-to-market failures
- Industry chokepoints
6. Strategic Recommendations
- 3 actionable strategies to win this market
- White space opportunities
- Suggestions for pricing, positioning, or differentiation
7. Optional Slides
- Analyst-style slide summaries for key points
- Bullet format, executive tone
Make this tailored, data-rich, and executive-ready. Use bullets, bold headers, and label each section clearly.
It returned:
✅ Global + regional TAM/SAM
✅ CAGR with source-backed estimates
✅ Visual competitor grid
✅ Breakdown of B2B vs B2C buyer personas
✅ Risk map (macro, tech, regulatory)
✅ 3 strategic plays with rationale
And cited real sources.
I followed up with:
“Now compare [Competitor A] vs [Competitor B].”
“What are emerging trends that incumbents are ignoring?”
“Summarize this 40-page Gartner PDF into 5 bullet points.”
Claude handled all of it like a pro.
Example use cases:
• Launching a new product? → Get segment insights
• Entering a new market? → Run a gap analysis
• Building pitch decks? → Add data-backed trends
• Raising capital? → Include smart forecasting
• Outpacing incumbents? → Identify blindspots
All with a single prompt.
Forrester and Gartner are still selling access to static research.
Claude gives you interactive intelligence:
- Ask follow-up questions
- Customize outputs
- Update on the fly
- Translate into strategy
That’s something no PDF can do.
The new research stack =
→ Claude
→ Context
→ Clear questions
If you're still waiting weeks for reports, you're behind.
LLMs now give you Forrester-level insights in real time for free.
Learn how to prompt or stay outdated.
Claude made simple: grab my free guide
→ Learn fast with mini-course
→ 10+ prompts included
→ Practical use cases
You are a senior automation architect and expert in building complex AI-powered agents inside n8n. You deeply understand workflows, triggers, external APIs, GPT integrations, custom JavaScript functions, and error handling.
Guide me step-by-step to build an AI-powered agent in n8n. The agent’s purpose is: {$AGENT_PURPOSE}
1. Start by helping me scope the agent’s goals and required inputs/outputs. 2. Design the high-level architecture of the agent workflow. 3. Recommend the necessary n8n nodes (built-in, HTTP, function, OpenAI, etc). 4. For each node, explain its configuration and purpose. 5. Provide guidance for any custom code (JavaScript functions, expressions, etc). 6. Help me set up retry logic, error handling, and fallback steps. 7. Show me how to store and reuse data across executions (e.g. with Memory, Databases, or Google Sheets). 8. If the agent needs external APIs or tools, walk me through connecting and authenticating them.
Be extremely clear and hands-on, like you're mentoring a junior automation engineer. Provide visual explanations where possible (e.g. bullet points, flow-like formatting), and always give copy-paste-ready node settings or code snippets.
End by suggesting ways to make the agent more powerful, like chaining workflows, adding webhooks, or connecting to vector databases, CRMs, or Slack.