I play soccer every weekend. This Sunday I will go to ___
⚽ the soccer game
⚽ practice
🏖️ the beach
⛪ church
I play soccer every weekend. My team has a championship final this Sunday. This Sunday I will go to ___
⚽ the soccer game
🏆 the championship
🏖️ the beach
This is What a System Prompt Does
A system prompt gives AI context — exactly like adding "I play soccer" above. The more relevant context you provide, the more accurate and focused the AI's output becomes. This is why prompt engineering matters.
Open-source models are 10-60x cheaper than closed-source — and you can run them on your own hardware. The gap in quality is closing fast.
Real Usage Data
What We Actually Spend
Anthropic API · October 2025 · One month of production AI
855M
Input Tokens
3.3M
Output Tokens
$673
Total Monthly Cost
~$22
Average Daily Cost
📊 What This Runs
14 production AI applications including chatbots, code agents, content pipelines, and data analysis — all powered by Claude Sonnet 4.5
💡 The Comparison
$673/month for AI vs. $5,000+/month for one developer. AI handles the equivalent work of multiple specialists at a fraction of the cost.
Executive Takeaway
This is real production cost data. AI is not expensive — not using AI is expensive.
AI Coding Usage
Real AI Coding Usage — One Day
Cursor IDE · GPT-5.4 · Mar 14, 2026 · Every request = AI writing production code
Time
Model
Tokens
API Cost
Status
02:49 PM
gpt-5.4-high
393.4K
$2.37
✓ Included
02:29 PM
gpt-5.4-high
2.3M
$9.70
✓ Included
02:23 PM
gpt-5.4-high
1.5M
$4.93
✓ Included
02:19 PM
gpt-5.4-medium
1.1M
$1.51
✓ Included
01:48 PM
gpt-5.4-medium
8.1M
$20.69
✓ Included
01:46 PM
gpt-5.4-medium
573.7K
$0.43
✓ Included
01:44 PM
gpt-5.4-medium
272.4K
$0.10
✓ Included
01:42 PM
gpt-5.4-medium
1.4M
$0.55
✓ Included
01:39 PM
gpt-5.4-medium
2.1M
$0.85
✓ Included
01:37 PM
gpt-5.4-medium
756.1K
$0.29
✓ Included
01:36 PM
gpt-5.4-medium
486.8K
$0.19
✓ Included
01:29 PM
gpt-5.4-medium
712.6K
$0.31
✓ Included
01:27 PM
gpt-5.4-medium
1.4M
$0.53
✓ Included
01:05 PM
gpt-5.4-medium
3.5M
$1.92
✓ Included
What You're Looking At
One agentic coding session used 8.1M tokens ($20.69)
Intelligence Benchmark
AI Intelligence Leaderboard
Artificial Analysis Intelligence Index v4.0 · 10 evaluations (GDPval-AA, τ²-Bench, Terminal-Bench Hard, SciCode, AA-LCR, AA-Omniscience, IFBench, Humanity's Last Exam, GPQA Diamond, CritPt) · March 2026
🔵 Gemini 3.1 Pro Preview
57
⬛ GPT-5.4 (high)
57
⬛ GPT-5.3 (video/high)
54
🟤 Claude Opus 4.6 (max)
53
🟤 Claude Sonnet 4.6 (max)
52
⬛ GPT-5.2 (high)
51
🔷 GLM-5
50
🟣 Grok 4.20 Beta D309
48
⬛ Kimi K2.5
47
🔵 Gemini 3 Flash
46
🟠 Qwen3.5 397B A17B
45
🔴 MiniMax-M2.5
42
🔵 DeepSeek V2.2
42
🟠 MiMo-V2-Flash (Feb 2026)
41
🟣 Grok 4.1 Fast
39
🟤 Claude 4.5 Haiku
37
🟢 NVIDIA Nemotron 3 Super
36
🟡 Nova 2.0 Pro Preview
36
🔵 Gemini 3.1 Flash Preview
34
⬛ gptcass-12DB (high)
33
💡 Reasoning models indicated by lightbulb · Source: artificialanalysis.ai
Coding Benchmark
AI Coding Leaderboard
Artificial Analysis Coding Index · Terminal-Bench Hard + SciCode · March 2026
⬛ GPT-5.4 (high)
57
🔵 Gemini 3.1 Pro Preview
56
⬛ GPT-5.3 (high)
53
🟤 Claude Sonnet 4.6 (max)
51
⬛ GPT-5.2 (high)
49
🟤 Claude Opus 4.6 (max)
48
🔷 GLM-5
44
🔵 Gemini 3 Flash
43
🟣 Grok 4.20 Beta D309
42
🟠 Qwen3.5 397B A17B
41
🔵 Kimi K2.5
40
🔴 MiniMax-M2.5
37
🔵 DeepSeek V3.2
37
🟠 MiMc-V2-Flash (Feb 2026)
33
🟤 Claude 4.5 Haiku
33
🟢 NVIDIA Nemotron 3 Super
31
🟣 Grok 4.1
31
🟡 Nova 2.0 Pro Preview
30
Source: artificialanalysis.ai · Coding Index = Terminal-Bench Hard + SciCode weighted average · 💡 = reasoning model
The Speed of AI
How Fast AI is Improving
Intelligence Index scores · Top model per company · 2024 → 2025 → 2026
🟢 OpenAI
182024
352025
572026
🟤 Anthropic
162024
332025
532026
🔵 Google
152024
312025
572026
⚖️ US Bar Exam (Uniform Bar Examination) 2023: GPT-3.5 scored bottom 10% of test-takers ·
2024: GPT-4 scored 90th percentile (297/400) ·
2026: GPT-5.4 passes with near-perfect score — outperforming 99% of human lawyers
February 2026
Claude Cowork — AI as a Colleague
Released Feb 10, 2026 · Claude reads, edits, and creates files on your computer autonomously
📁 What is Cowork?
Claude's desktop app gets direct access to designated folders on your machine. It reads, edits, creates files — PDFs, Excel, Word, Markdown — without copy-paste. Like giving AI a desk in your office.
📝 CLAUDE.md Files
The key innovation: place a CLAUDE.md file in any project folder. Claude reads it as standing instructions — your company rules, tone, context — automatically applied to every task in that folder.
🔄 Cross-App Continuity
Move between Excel → PowerPoint → Word with full context retained. Analyze earnings, update financial models, build CIM slides — all in one seamless workflow without losing context.
💼 Enterprise Workflows
Entire deal workflows run autonomously: Claude reads NDAs, extracts deal terms, populates CRM fields, drafts memos — completing tasks that took hours in minutes.
The Shift
AI moves from chat tool to autonomous colleague — working inside your actual files, not just answering questions.
Finance AI Revolution
Claude's Finance Plugins
Released Feb 2026 · 5 professional plugins · Real institutional data integrations
🏦 Investment Banking
Reviews transaction docs, builds comps, prepares pitch books, drafts CIMs, teasers and process letters. Automates deal prep.
📊 Equity Research
Parses earning transcripts, updates financial models, drafts research notes. Reduces note prep from 6 hours → 45 minutes.
🔍 Private Equity
Automates diligence: reviews large doc sets, extracts standardized financial data, models scenarios across portfolio companies.
💰 Wealth Management
Analyzes portfolios, identifies drift and tax exposure, generates rebalancing recommendations with full client context.
📈 Financial Analysis
1M-token context window reads entire corporate document libraries in one session — 10-Ks, earnings, filings, all at once.
🔗 Live Data Sources
Connected to: LSEG · FactSet · MSCI · S&P Capital IQ · Bloomberg · Daloopa · Morningstar · PitchBook
For Your Business
The same plugin framework applies to any industry — legal, healthcare, logistics, HR. Claude in February 2026 became a domain specialist, not just a chatbot.
Model Sizes
Bigger ≠ Always Better
Size
Parameters
Analogy
Best For
Small
1 – 8 Billion
🧑💼 Smart intern
Fast, cheap, specific tasks
Medium
30 – 70 Billion
📊 Senior analyst
Solid reasoning, most tasks
Frontier
Undisclosed
🏛️ Consulting team
Complex analysis, top quality
Key Insight
A well-tuned 8B model can outperform a 70B model on specific tasks. The right model depends on the use case
and budget.
Training vs. Inference
Building the Factory vs. Driving the Car
🏭
Training
Cost: $2M – $200M+ Time: Weeks to months Hardware:
Thousands of GPUs Who: OpenAI, Google, Meta
🚗
Inference
Cost: $0.001 – $0.10 per query Time:
Milliseconds Hardware: 1 GPU or cloud API Who: You (right now)
Executive Takeaway
You don't need to train models. You use them. Training is building the factory — inference
is driving the car.
Closed vs. Open Source
Two Worlds of AI
🔒 Closed Source
GPT-4, Claude, Gemini
✅ Best quality ✅ Easy to start ⚠️ Data goes to their cloud ⚠️ Pay per
token
🔓 Open Source
Llama 3, Mistral, Qwen
✅ Free to use ✅ Data stays on your hardware ✅ Full customization ⚠️
Need your own GPU
Real Example
Our SafetyEye runs local open-source models on our GPU server — factory data never leaves the premises.
RAG
Your Company's AI Brain
AI knows the world, but not YOUR company. RAG bridges the gap.
User Question
→
Search Your Docs
→
Feed to LLM
→
Answer with YOUR Data
"What were our Q4 margins?" → RAG searches your financial docs → AI answers with your real data. No expensive
training required.
Multimodal AI
AI That Sees, Speaks, and Creates
👁️
Vision
Analyze images, documents, charts, factory floors in real-time
🎨
Generation
Create images, video, presentations from text descriptions
Image Studio (GPU image gen) · Video Pipeline (auto video) · VibeVoice TTS (podcast audio) · SafetyEye
(vision AI)
03
AI as Your Strategy Analyst
Your AI-powered boardroom advisor — live strategic prompting
Strategic AI Prompt
The Competitive Landscape Summary
You are a strategy analyst who has spent three weeks building a competitive
intelligence report. Now compress everything into one executive-ready slide with no filler.
I need:
- Top competitors: The 8 most relevant competitors, ranked by how much they
matter
- Comparison dimensions: 6-8 real competitive factors (pricing model, target
customer, distribution, type of advantage)
- Competitor grid: Rate each competitor on each dimension with a short note
- Open space: Positions that nobody currently owns — potential ways to stand out
- Who is moving: Which competitors are gaining ground, stuck, or losing steam?
- Biggest threat: The one player most likely to hurt my position in 18 months
- Three-sentence summary: The competitive landscape in three sentences a CEO
would read twice
My company: [DESCRIBE YOUR OFFERING AND MARKET POSITION]
Key competitors: [LIST WHO YOU CONSIDER COMPETITION]
🏢 Borusan Otomotiv Example: "Premium automotive distributor in
Turkey — exclusive BMW, MINI, Jaguar, Land Rover. Competitors: Doğuş Otomotiv (VW/Audi/Porsche), Çelik Motor
(Mercedes)..."
Strategic AI Prompt
The SWOT That Actually Works
You are a strategy consultant who refuses to produce the vague, generic SWOT. Give
me a SWOT that is specific, backed by evidence, and directly useful.
I need:
- Strengths: 4-5 real advantages with proof — not generic claims, but specific
things competitors cannot easily copy
- Weaknesses: 4-5 honest internal problems, with a note on how hard each is to
fix
- Opportunities: 4-5 specific outside conditions creating real advantage windows,
with timing
- Threats: 4-5 outside forces that could hurt performance, with probability and
impact rating
- Interaction analysis: 4 most important S+O, S+T, W+O, W+T combinations and what
move each suggests
- "So what?" test: For every item in all four boxes, confirm it leads to a clear
action. If not, remove it
My business: [COMPANY, PRODUCT, OR INITIATIVE]
Context: [WHAT DECISION THIS SWOT IS HELPING WITH]
⚡ Borusan EnBW Enerji Example: "855 MW installed renewable
capacity (100% wind). Evaluating expansion into solar + EV charging infrastructure across Turkey..."
Strategic AI Prompt
The "So What?" Stress Test
You are a senior strategy partner reviewing an analyst's work before it goes to the
client. Your only job is to keep asking "So what?" until every recommendation is solid.
I need:
- Recommendation check: Take each recommendation and ask "So what?" three times
to push to concrete, actionable insight
- Vague language detector: Flag every weak phrase like "improve efficiency,"
"drive growth," "optimize performance" — force into specific, measurable language
- Logic chain check: Data → Insight → Implication → Recommendation → Action. Flag
any broken links
- Pushback rehearsal: What would a skeptical CFO or board member say? How should
I respond?
- Confidence level: Which recommendations have strong evidence vs. educated
guesses?
- Slide title test: If each recommendation were a slide headline, would it be
specific enough to act on?
My recommendations: [PASTE YOUR CURRENT RECOMMENDATIONS OR ANALYSIS]
💡 Universal: Paste any department's strategic recommendations
— works for every business unit at Borusan. Try it with your own team's latest strategy deck.
Strategic AI Prompt
The Value Chain Breakdown
You are a strategy analyst mapping the full value chain to find where a business
creates value, captures value, and loses value.
I need:
- Primary activities: Inbound logistics, operations, outbound, marketing/sales,
service — assess each
- Where we create value: Which activities genuinely create better value than
competitors?
- Where we lose value: Where does margin leak to suppliers, middlemen, or
wasteful processes?
- Competitor comparison: How does my chain differ from top competitor's?
- Make vs. buy: Which activities could be outsourced without losing strategic
control?
- Biggest lever: The single activity that, if improved by 20%, would have the
largest effect
My business: [DESCRIBE YOUR COMPANY AND INDUSTRY]
Biggest cost concern: [WHERE YOU FEEL THE MOST PRESSURE]
🏭 Borusan Pipe Example: "Leading steel pipe manufacturer in
Turkey/Europe. Raw steel → pipe production → coating → logistics → B2B sales. Biggest pressure: energy costs and
raw material price volatility."
Strategic AI Prompt
The Scenario Planning Matrix
You are a strategy partner running a scenario planning session for a leadership
team facing serious uncertainty.
I need:
- Two key unknowns: The 2 most uncertain + impactful factors → these become axes
of a 2x2 matrix
- Four scenarios: Internally consistent stories (5-7 sentences each) for 3-5
years out
- What each means for us: 3 specific effects on strategy, product, pricing, or
operations per scenario
- Safe bets vs. gambles: Moves that work across multiple scenarios vs. moves that
only pay off in one
- Early warning signs: 3 signals per scenario we can watch for TODAY
- Decision triggers: Specific points where we switch from one approach to another
My context: [DESCRIBE YOUR INDUSTRY AND SITUATION]
Biggest uncertainty: [BIGGEST UNKNOWN YOU FACE]
🚜 Borusan Cat Example: "Caterpillar equipment distributor for
construction/mining. Uncertainties: (1) speed of EV transition in heavy equipment, (2) Turkish construction
sector growth trajectory..."
Strategic AI Prompt
The Operating Model Designer
You are an organization design consultant building the operating model that turns
strategy into day-to-day execution.
I need:
- Strategy to model: How my stated strategy should shape every piece of the
operating model
- Structure options: Evaluate functional, divisional, matrix, and network
structures — pros/cons for my case
- Decision rights (RACI): For the 10 most important recurring decisions — who
decides, who's consulted, who's informed
- Key processes: 5 most critical processes for the strategy to work, and current
gaps
- Critical roles: 3-5 jobs that matter most for competitive advantage — what
"great" looks like in each
- Rollout order: What order to make changes in, to keep disruption low and get
early wins
My business: [COMPANY, STRATEGY, AND CURRENT SETUP]
Biggest challenge: [WHERE STRATEGY IS NOT TURNING INTO RESULTS]
🏢 Borusan Holding Example: "6 business units (manufacturing,
automotive, logistics, energy, machinery, ventures). Challenge: ensuring AI transformation happens consistently
across all units, not just in tech-forward divisions."
Strategic AI Prompt — Master
The Full Strategy Synthesis
You are a senior strategy partner presenting final recommendations to a CEO and
board after a six-week engagement. Pull everything together into one clear, decisive strategy document.
I need:
- Where we stand: Market position, competitive situation, financial health, team
capability — precise and direct
- Top 5 findings: Five most important things the analysis uncovered — sharp,
evidence-backed insights
- Pyramid narrative: Main message, 3 supporting arguments, 9 data points — clean
pyramid structure
- Three paths forward: Three strategic options with expected value, risk,
capabilities needed, timeline
- My recommendation: One clear choice with reasoning a skeptical board member
needs
- 30-60-90 day plan: Specific actions in first 30 days, progress check at 60, key
turning point at 90
- One-page board summary: Headline, 3 findings, recommendation, and next steps on
one page
My business: [FULL CONTEXT: COMPANY, MARKET, STAGE, TEAM, REVENUE, BIGGEST
CHALLENGE]
Decision to make: [THE STRATEGIC CHOICE THAT NEEDS TO BE RESOLVED]
🎯 The prompt that replaces a 6-week consulting engagement. Try
it with your business unit's biggest strategic question. The AI won't give you the answer — but it will give you
the right structure to find it.
Your Toolkit
Strategy Prompt Toolkit
7 executive-grade AI prompts — copy to ChatGPT, Claude, or Gemini. Click any prompt slide to see it in full.
02
Vibe Coding
The hottest new programming language is English
The New Paradigm
What is Vibe Coding?
"The hottest new programming language is English."
— Andrej Karpathy, ex-Tesla AI Lead, OpenAI Co-founder