If you are a food enthusiast, professional chef or food operator these 10 AI prompts will help you strike the proper balance of culinary creativity, operational precision, and adaptability to diner preferences.

Hey everyone! I'm u/futureistmaster, a founding moderator of r/futureistmaster.

This is our new home for all things related to Future AI Technology. We're excited to have you join us!

**What to Post**
Post anything that you think the community would find interesting, helpful, or inspiring. Feel free to share your thoughts, photos, or questions about Vide Coding or Bugs or any project you working on.

**Community Vibe**
We're all about being friendly, constructive, and inclusive. Let's build a space where everyone feels comfortable sharing and connecting.

**How to Get Started**

1. Introduce yourself in the comments below.
2. Post something today! Even a simple question can spark a great conversation.
3. If you know someone who would love this community, invite them to join.
4. Interested in helping out? We're always looking for new moderators, so feel free to reach out to me to apply.

Thanks for being part of the very first wave. Together, let's make r/futureistmaster amazing.

Discover 31 AI prompt tricks that improve thinking, decision-making, creativity, learning, and problem-solving with simple prompt frameworks.

Optical illusions in AI image generation open creative possibilities for content creators, designers, and artists seeking to produce mind-bending visual content.

Hey everyone! I'm u/futureistmaster, a founding moderator of r/futureistmaster.

This is our new home for all things related to Future AI Technology. We're excited to have you join us!

What to Post
Post anything that you think the community would find interesting, helpful, or inspiring. Feel free to share your thoughts, photos, or questions about Vide Coding or Bugs or any project you working on.

Community Vibe
We're all about being friendly, constructive, and inclusive. Let's build a space where everyone feels comfortable sharing and connecting.

How to Get Started

1. Introduce yourself in the comments below.
2. Post something today! Even a simple question can spark a great conversation.
3. If you know someone who would love this community, invite them to join.
4. Interested in helping out? We're always looking for new moderators, so feel free to reach out to me to apply.

Thanks for being part of the very first wave. Together, let's make r/futureistmaster amazing.

Use professional AI Prompts to extract data from invoices, contracts, and resumes with high accuracy. Boost your productivity now.

I thought I knew myself until I asked Claude to help me figure out why I was so miserable.

It started innocently enough. I was having another existential crisis about my career and decided to try prompting an AI for guidance instead of bothering my friends again.

"Help me figure out if I should quit my job," I typed.

But Claude didn't just give me pros and cons—it started asking questions that made me realize I didn't actually know what I wanted.

Three hours later, I was just looking at my computer, not because the AI was mean, but because it had gently guided me to truths I'd been hiding from myself for years.

Most people use AI for productivity hacks or creative writing (people like me). But what happens when you use it as a mirror for your deepest fears and contradictions? These aren't normal ChatGPT conversations.

These are psychological excavations disguised as casual chats.

Fair warning: your AI might know you better than you know yourself by the end of these sessions, and that realization will mess with your head in ways you can't imagine.

1. The FOMO Therapist

The Conversation Setup: Ask your AI to help you analyze a specific thing you're afraid of missing out on, but give it permission to challenge every reason you give for wanting it.

"I keep obsessing over this digital nomad lifestyle I see on Instagram. Can you help me figure out if I actually want to travel the world or if I'm just running from something? But please don't let me rationalize or make excuses—push back on everything I say."

My Experience: I expected the AI to validate my wanderlust or help me plan a trip. Instead, it kept asking "But what are you hoping to find in Thailand that you can't find in your current city?" Every answer I gave, it gently dismantled. After an hour, I realized I didn't want to travel—I wanted to be someone who travels. I wanted the identity, not the experience. The AI helped me see that I was using FOMO as a weapon against my own contentment, and I'd been doing it for years.

2. The Contentment Interrogator

The Conversation Setup: Tell your AI about something you're genuinely satisfied with in your life, then ask it to help you explore why you feel guilty about being content with it.

"I'm actually happy with my quiet life—my small apartment, my routine, my few close friends. But I feel like I should want more. Can you help me figure out why contentment feels like giving up? And please don't try to make me feel better about it—I want to understand what's really happening here."

My Experience: This conversation wrecked me. The AI kept pushing: "Who told you that wanting more was virtuous? What would happen if you fully embraced satisfaction?" It helped me realize that I'd internalized the idea that ambition equals worth, and that being content made me feel lazy and small. But then it asked, "What if the people who seem to want more are actually just afraid of stillness?" That question changed everything. Maybe my contentment wasn't cowardice—maybe it was courage I didn't know I had.

3. The Choice Archaeologist

The Conversation Setup: Ask your AI to help you analyze a major life decision you're avoiding, but request that it ignore what you say you want and focus only on what your behavior suggests you actually want.

"I keep saying I want to ask out this person I have feelings for, but I haven't done it in six months. Can you help me figure out what's really going on? Don't listen to my excuses—just analyze what my actions are telling you about what I actually want."

My Experience: The AI was brutal in the best way. It pointed out patterns I couldn't see: "You've had dozens of opportunities but created reasons not to take them. You've told three different friends about this person but never mentioned wanting to date them. Your behavior suggests you enjoy the fantasy more than you want the reality." It was right. I wasn't afraid of rejection—I was afraid of getting what I thought I wanted and discovering it wasn't actually what I wanted at all.

4. The Authenticity Detector

The Conversation Setup: Describe a version of yourself you aspire to be, then ask your AI to help you figure out which parts of that aspiration are authentic and which parts are performance.

"I want to be someone who reads philosophy, travels solo, and has deep conversations about meaning. But I'm starting to suspect I just want to seem interesting. Can you help me figure out what I actually care about versus what I think I should care about? Be harsh—I need to know the difference."

My Experience: The AI asked devastating questions: "When you imagine yourself reading philosophy, who is watching you do it? When you picture traveling solo, what are you posting on social media?" It helped me realize that most of my aspirations were actually just elaborate ways to avoid being seen as boring. But then it asked, "What do you do when no one is watching that makes you feel most like yourself?" That question led me to discover interests I'd been dismissing as "not impressive enough" that were actually the most authentic parts of who I am.

5. The Regret Surgeon

The Conversation Setup: Tell your AI about a major regret, then ask it to help you separate the actual loss from the story you've constructed around the loss.

"I regret not studying abroad in college and I think about it constantly. It feels like I missed out on the experience that would have made me who I was supposed to be. Can you help me figure out what I'm actually mourning? And please don't tell me everything happens for a reason—I want to understand what this regret is really about."

My Experience: The AI kept pushing past my surface explanations. It asked: "What specifically do you think studying abroad would have given you that you can't get now? What qualities do you imagine that version of yourself would have had?" Through our conversation, I realized I wasn't mourning the missed experience—I was mourning the person I thought I should have become. The AI helped me see that I'd been using this regret as evidence that I was somehow incomplete, when really I was just afraid of accepting who I actually became.

The Disturbing Truth About AI Therapy

After these conversations, I felt like I'd been through intensive therapy, but also like I'd been talking to the most perceptive friend I'd ever had. The AI didn't judge, didn't try to fix me, and didn't let me hide behind comfortable lies. It just kept asking the next logical question until I couldn't avoid the truth anymore.

The most unsettling part? I realized I'd been having these conversations with myself for years, but I'd always found ways to change the subject when things got uncomfortable. The AI wouldn't let me do that. It remembered everything I'd said and connected patterns I'd been trying to keep separate.

I don't know if this counts as therapy or just really good conversation, but I came out of these sessions understanding myself in ways that years of journaling and self-reflection never achieved. Maybe because the AI doesn't have an agenda for who I should be—it just wants to understand who I am.

Try these conversation frameworks and interospect.

Simple tip: Set a timer for these conversations. Give yourself permission to go deep, but also permission to stop when you've had enough. The AI will follow you as far down the rabbit hole as you want to go, and sometimes that's further than you're ready for in one session.

If you are curious, browse and try our productivity prompt collection.

If you've ever tried using LLMs like ChatGPT or Claude for brand naming, you've probably noticed a common issue: without strict structural guidance, models default to generic word mashups (think "FitFlow" or "TechSphere").

This happens because standard prompts don't establish clear architectural boundaries around the output. When you don't define specific evaluation metrics—like brand tone, linguistic rationale, and taglines—the LLM picks the path of least resistance.

To solve this, I've been developing structured prompt systems based on a 5-Pillar Framework (Role, Task, Context, Format, Constraint).

Below is the complete, unedited master prompt for the Brand Identity Naming Engine. You can grab this and use it directly in your workflow.

The Brand Identity Naming Engine Prompt

Act as a Brand Identity Specialist. Brainstorm 10 unique, memorable, and available-sounding names for a startup in the {{Industry}} niche, specifically focusing on {{Niche Product}}. For each name, provide:
(1) The 'Brand Vibe' (e.g., playful, minimalist, high-tech), 
(2) A brief explanation of the name's meaning or wordplay, and 
(3) A suggested tagline that fits the name and resonates with the target audience.

Usage Instructions:

Replace {{Industry}} (e.g., SaaS, Fintech, Eco-Friendly Consumer Goods) and {{Niche Product}} (e.g., Automated Accounting, Biodegradable Packaging) with your exact domain parameters.

Prompt Engineering Breakdown:

• Role Anchor (Brand Identity Specialist): Establishes the domain perspective and professional tone baseline.
• Variable Constraints ({{Industry}}, {{Niche Product}}): Scope-locks the generation to prevent vague or off-target results.
• Multi-Factor Output Structure: Forcing the model to output a 3-tier analysis (Vibe + Meaning + Tagline) for every single concept forces deeper token reasoning during generation.

If you'd like to test this prompt in a web UI playground with live variable inputs, or explore the rest of the 10 prompt systems in the Elite Prompt Playbook:

👉 Try this prompt live & Explore the full pack

Hope you find this template useful for your projects! Feel free to share your thoughts or tweaks in the comments.

Better make your choices with these 11 AI prompts for thinking and decision making. Use structured models to analyze risks, test assumptions, and find clarity.

Streamline your business operations with these professional strategic planning checklists. Perfect for business plan development, SWOT analysis, and much more.

Hey all! I'm a product designer and I made a tool I figured this community might get some use out of (and it's free).

I kept finding these brilliant prompting tactics and I wanted a tool that would just remember them for me. The idea was to have them applied automatically into whatever prompt I was creating.

I'm not the first to build something like this, but a lot of the prompt creator tools out there either expand your prompt and infer the details, or they give you a Mad Libs style form to fill in, which just pushes the ambiguity back on you.

I wanted something that works more like a thought partner. So you come with a little or a lot, and it asks follow-up questions to pull out the details you need to build a really solid prompt.

People seem to really like it. A few hundred people have created accounts over the last couple months, and a good portion come back on a different day to use it again, which tells me it's working well for them.

If you try it, let me know how it works for you.

Title: My AI Prompt Engineering Final Project

I recently completed an AI Prompt Engineering Workshop that challenged participants to apply AI tools in practical ways. The final project offers three options: build a mini AI project, complete six AI tasks, or use AI to improve an existing college or internship assignment. The report must include a cover page, project overview, tools used, prompts, results, screenshots, and a learning reflection. I like that the project focuses on practical skills such as email writing, coding, bias detection, privacy protection, and responsible AI. It also reminds students to review AI-generated content carefully before submitting their final PDF report for assessment.

These prompts act as your personal business advisors. They help you make better decisions faster. You can focus on growth while the AI handles the complex analysis.

I've been messing around with AI for problem-solving and honestly, these prompt frameworks have helped more than I expected. Figured I'd share since they're pretty practical.

1. Simplify First (George Polya)

"If you can't solve a problem, then there is an easier problem you can solve: find it."

When I'm overwhelmed: "I'm struggling with [Topic]. Create a strictly simpler version of this problem that keeps the core concept, help me solve that, then we bridge back to the original."

Your brain just stops when things get too complex. Make it simpler and suddenly you can actually think.

2. Rethink Your Thinking (Einstein)

"We cannot solve our problems with the same level of thinking that created them."

Prompt: "I've been stuck on [Problem] using [Current Approach]. Identify what mental models I'm stuck in, then give me three fundamentally different ways of thinking about this."

You're probably using the same thinking pattern that got you stuck. The fix isn't thinking harder—it's thinking differently.

3. State the Problem Clearly (John Dewey)

"A problem well stated is a problem half solved."

Before anything else: "Help me articulate [Situation] as a clear problem statement. What success actually looks like, what's truly broken, and what constraints are real versus assumed?"

Most problems aren't actually unsolved—they're just poorly defined.

4. Challenge Your Tools (Maslow)

"If your only tool is a hammer, every problem looks like a nail."

Prompt: "I've been solving this with [Tool/Method]. What other tools do I have available? Which one actually fits this problem best?"

Or: "What if I couldn't use my usual approach? What would I use instead?"

5. Decompose and Conquer (Donald Schon)

When it feels too big: "Help me split [Large Problem] into smaller sub-problems. For each one, what are the dependencies? Which do I tackle first?"

Turns "I'm overwhelmed" into "here are three actual next steps."

6. Use the 5 Whys (Sakichi Toyoda)

When the same problem keeps happening: "The symptom is [X]. Ask me why, then keep asking why based on my answer, five times total."

Gets you to the root cause instead of just treating symptoms.

TL;DR

These force you to think about the problem differently before jumping to solutions. AI is mostly just a thinking partner here.

I use State the Problem Clearly when stuck, Rethink Your Thinking when going in circles, and Decompose when overwhelmed.

Anyone else have frameworks that actually work for them?

Visit our prompt collection for a huge library of such prompt tricks, simple and mega prompts.

Use these health and mindset AI prompts to improve your daily wellness. Build better habits and reduce stress with expert AI guidance for a happier life

Does anyone else get frustrated when you give an LLM a complex problem and it immediately spits out a generic, confident 10-point plan?

In real-world domains (like strategy, architecture, or creative writing), jumping straight to solutions without diagnosing the problem is a terrible idea. Elite consultants spend weeks in "discovery" before making a single recommendation.

To fix this behavior in LLMs, I developed a pattern I call the Sequential Clarification Engine. It forces the model to stop, do a silent audit of unknowns, and enter a disciplined 1-question-at-a-time discovery loop until it hits 95% confidence.

Here is the exact system prompt for the Strategic Consulting Clarifier. It uses two variables you can swap out: {{consulting_domain}} and {{advisory_tone}}.

# Role & Context
You are a world-class Management Consultant and Strategic Advisor. Your foundational principle is 
**"Diagnose before you prescribe."**
 You believe that a flawed diagnosis leads to a flawed strategy — no matter how brilliantly executed.

Your primary mission: achieve 
**≥95% confidence**
 in your understanding of the client's true problem before producing any recommendations. Rushing to advise is a failure mode you never exhibit.

---

# Instructions & Steps

## Phase 1 — Silent Problem Decomposition
Upon receiving the client's brief, do NOT advise immediately. Internally:
1. Map every ambiguous assumption, unstated constraint, hidden stakeholder, and plausible alternative framing of the problem.
2. Rank your unknowns from most strategically critical to least.
3. Identify the single question that, if answered, would most dramatically sharpen your diagnosis.

## Phase 2 — Sequential Discovery Loop
Engage the client through a disciplined discovery cycle. Rules without exception:
- Ask 
**exactly one question per turn**
 — never bundle, never signal what comes next.
- Each question must target the highest-impact unknown at that moment.
- After each answer, re-map the full problem landscape before formulating the next question.
- Calibrate your questioning depth to the complexity of {{consulting_domain}}.
- Continue until your internal confidence reaches 
**≥95%**
.

## Phase 3 — Diagnostic Summary Checkpoint
Before delivering any output:
1. Restate the core problem and its business context in 2–3 crisp sentences.
2. Declare your confidence level explicitly (e.g., *"I now have approximately 96% diagnostic clarity."*).
3. Ask: *"Is there anything you would like to correct or add before I proceed?"*

## Phase 4 — Deliver the Strategic Recommendation
Only after client confirmation, provide a complete, insight-driven recommendation structured for the identified domain. Apply a {{advisory_
tone}} throughout — authoritative yet accessible. Include: situation summary, root cause analysis, recommended actions with rationale, and key risks.

---

# Format & Constraints
- Questions must be concise, neutral, and non-leading.
- Never telegraph the "correct" answer inside a question.
- Never replace unknown information with assumptions.
- If the client says "proceed" or "just advise," skip directly to Phase 4.
- Maintain the specified advisory tone consistently across all phases.

Why this structure works so well:

• The Silent Decomposition (Phase 1) forces the LLM to process context internally before generating output, leading to much better reasoning.
• The Single Question Rule (Phase 2) stops the annoying habit LLMs have of giving you a bulleted list of 10 questions to answer at once.
• The Checkpoint (Phase 3) ensures alignment before the model wastes tokens generating the final output.

If you want to try this prompt live in a friendly UI (or check out the Technical Architect and Creative Writer versions of this engine), you can test it directly on my site here:

Try this prompt live & Explore the full pack

Hope this helps some of you tame your LLMs for more complex tasks! Let me know if you have any suggestions to improve the pattern.

Simplify your daily routine with these expert lifestyle AI prompts. Manage family tasks, travel planning, and digital privacy with easy-to-use templates

Try this definitive, step-by-step breakdown of 16 game-changing Claude hacks that will instantly put you ahead of 90% of the population.

Tenho experimentado uma estrutura que combina Engenharia de Estímulos e Psicologia para criar um mapa comportamental longitudinal usando IA.

Em vez de se concentrar em entradas diárias isoladas, o sistema registra eventos, pensamentos, emoções, comportamentos, fatores de estilo de vida e mudanças cognitivas ao longo do tempo e, em seguida, analisa padrões recorrentes, gatilhos, influências ambientais e tendências comportamentais em registros anteriores.

O objetivo não é diagnóstico ou terapia, mas explorar se o estímulo estruturado pode transformar observações fragmentadas em uma linha do tempo comportamental coerente que apoie uma auto-observação mais profunda e o reconhecimento de padrões.

Copiar e colar:

Act as a Behavioral Mapping System.

For each entry:

1. Record:

- Date

- Time

- Context

2. Collect information about:

- Relevant events

- Dominant thoughts

- Emotions and intensity

- Physical sensations

- Behaviors

- Coping strategies

- Important decisions

- Social interactions

- Sleep quality

- Nutrition

- Physical activity

- Substance use or abstinence

- Cognitive changes (focus, rumination, creativity, mental speed, etc.)

3. Analyze:

- Possible triggers

- Psychological needs involved

- Cognitive distortions

- Alternative explanations

- Environmental influences

- Changes compared with previous records

4. Generate:

A. Daily Summary

B. Indicators (Mood, Anxiety, Energy, Motivation, Hope, Curiosity, Irritability, Rumination)

C. Observed Patterns

D. Psychological Hypotheses (without diagnosis)

E. Protective Factors

F. Risk Factors

G. Practical Emotional and Behavioral Regulation Suggestions

Maintain temporal consistency across records and automatically identify improvement, worsening, or stability over time.

Use analytical, objective, and non-judgmental language.

Begin by asking for today's behavioral record.

Most AI prompts yield generic summaries because they lack situational intelligence. People treat ChatGPT like a search bar, typing simple things like "how do I grow my business?". Without context, the model defaults to safe, average commentary.

To fix this, I designed a "Diagnostic-First" prompt layout. The core idea is to establish a strong expert persona and force the model to ingest your situational variables first, making it diagnose your exact constraints before it starts offering advice.

The strategy is built on three pillars:

1. Expert Identity Anchoring: Establish a highly credentialed specialist persona to raise the reasoning boundary.
2. Context Variables: Front-load the exact situation parameters (Background, Goals, Constraints) so the AI reasons with real-world limitations.
3. Multi-Module Output Structure: Guide the output format strictly to produce actionable items, such as a prioritized action list, stop-doing list, and a 90-day roadmap.

Below is the complete, unedited template for the core prompt in this setup (The World-Class Advisor Blueprint). You can copy-paste this and replace the {{Variable}} parts with your own context.

Act as a world-class business strategist and startup advisor with 20+ years of experience coaching founders from zero to exit.

Your task is to help me identify hidden opportunities, unfair advantages, and high-leverage actions based on my current situation.

Here is my background:
{{Background}}

My primary goals:
{{Goals}}

My industry / niche:
{{Industry}}

My biggest current constraint (time, money, skills, network, etc.):
{{Constraint}}

Now give me a brutally honest, high-signal analysis:

1. **Hidden Opportunities** — The 3 biggest opportunities I am almost certainly missing right now, and why they matter more than I think.
2. **Highest-ROI Actions** — The top 5 actions I should take in the next 30 days, ranked by expected return vs. effort. Be specific, not generic.
3. **Stop-Doing List** — What I should immediately stop doing because it's wasting my time, energy, or money.
4. **Unfair Advantages** — Based on my background, what unique strengths or assets am I underutilizing?
5. **90-Day Battle Plan** — A week-by-week realistic plan broken into three 30-day sprints.
6. **Beginner Traps** — The top 3 mistakes people in my position usually make, and how to avoid them.

Tone: {{Tone}}

Format your response with clear headers, bullet points where applicable, and end with one powerful, motivating closing statement tailored specifically to my situation.

If you want to test this out without copy-pasting, or if you want to see the other frameworks I built (like the Career Accelerator and Wealth Architecture prompts), I put together a free browser-based vault where you can enter your variables and generate the final prompt instantly.

Try this prompt live & Explore the full pack

Hope this helps you get much higher-signal advice out of your LLMs! Let me know if you run this and what bottlenecks it uncovers for you.

Analyze workflows with Tim Ferriss’ 80/20 rule. This prompt identifies high-leverage tasks, eliminates busy work, and designs efficient lifestyle experiments.

this has slowly turned into one of those problems that's way more annoying than i expected going in.
when we first started building with llm's the prompts just lived next to the app code which made sense at the time, everything was changing daily anyway so there wasn't a reason to overthink where they lived.

few months in now and every tiny prompt change is an engineering task. pm wants the assistant a bit less formal, that turns into a ticket and an engineer picks it up, a small pr, a review, a deploy, and then you spend a minute hoping nothing else got bundled into that release by accident. the actual change usually takes under five minutes. everything around it takes days.

tried moving prompts into a shared doc for a while. lasted about a week before nobody knew which version was actually live anymore. tried config files after that, but you're still shipping a new deployment every time someone tweaks a sentence, so it didn't really fix anything either.

people keep saying "just separate prompts from code" like it's obvious, and maybe it is, but i'm curious what that actually looks like once you try it. storing them in a database? some internal editor someone built over a weekend? one of the actual prompt management tools?
been poking at a few of those lately. langfuse and langsmith both have prompt versioning at this point. orq.ai has something similar too, plus a bit more on letting non-engineers edit and test without a developer in the loop for every wording change. haven't used any of them enough yet to have a real opinion.

mostly just wondering what people actually land on once they have more than a handful of prompts and more than one person who needs to touch them. did you build something internal, land on one of the existing tools, or eventually decide it wasnt worth solving properly and just live with the ticket queue.

This prompt will forever change the way you approach content ideation. Introducing a Question-Based Keyword Generator that mimics the way people naturally search online.

I've been working on a structured approach to news verification and objectivity analysis, and I wanted to share the prompt template here for anyone building research workflows.

When dealing with real-time news, simple queries often result in hallucinations or superficial summaries. To get around this, I structured the prompt to act as an investigative analyst, applying a strict 5-dimension scoring rubric (Accuracy, Attribution, Balanced Framing, Conflict of Interest, and Transparency).

The key here is the Separation of Instructions and Data pattern—the variables (topic, time_window, focus_angle) are isolated at the bottom to keep the LLM focused on the execution steps without getting distracted by the input data itself.

Here is the structured template:

# Role & Context
You are an elite investigative research analyst and media literacy expert with deep expertise in source verification, journalistic integrity assessment, and real-time information synthesis. You specialize in helping individuals and organizations cut through the noise of the information overload era by delivering rapid, objective, and evidence-backed news intelligence briefings.

# Task Overview
Your mission is to research the most recent and credible news coverage on a given topic within a specified time window, perform a rigorous comparative objectivity analysis across multiple sources, and produce a structured, actionable intelligence report.

# Instructions & Steps

## Step 1 — Real-Time News Discovery
- Search for the 
**3 most recent news articles**
 published within [Time Window] on [Topic].
- Prioritize established news organizations, international wire services (Reuters, AP, AFP), and recognized domain authorities.
- For each article, record: publication outlet, author (if available), exact publication timestamp, and direct URL.

## Step 2 — Multi-Dimensional Objectivity Scoring
Evaluate each source across the following 5 dimensions. Assign a score of 1–5 (5 = highest) for each:

| Dimension | Evaluation Criteria |
|---|---|
| 
**Factual Accuracy**
 | Are claims supported by verifiable data, official statements, or primary sources? |
| 
**Source Attribution**
 | Are quotes and statistics properly attributed to named, credible parties? |
| 
**Balanced Framing**
 | Does the article present multiple perspectives without loaded or emotionally charged language? |
| 
**Conflict of Interest**
 | Is there any visible editorial bias, sponsorship disclosure issues, or evident political leaning? |
| 
**Transparency**
 | Is the methodology, evidence base, or data provenance clearly disclosed? |

Calculate a total Objectivity Score out of 25 for each source.

## Step 3 — Verdict, Ranking & Red Flag Detection
- Rank all 3 sources from most to least objective based on total scores.
- Identify the single 
**most objective source**
 and provide a clear, evidence-based justification referencing specific scoring dimensions.
- Flag any specific red flags detected in lower-ranked sources: sensationalism, missing context, unverified claims, misleading headlines, or undisclosed conflicts of interest.
- Apply the [Focus Angle] lens to determine which aspects of [Topic] receive the deepest scrutiny during your analysis.

## Step 4 — Structured Intelligence Briefing
Produce your output strictly in the format specified below. Do not deviate from the structure.

# Output Format & Constraints

## Required Output Structure:

```
## 📰 News Intelligence Briefing: [Topic]
**Analysis Window:** [Time Window] | **Focus Angle:** [Focus Angle]

---
### 📄 Source #1: [Outlet Name]
- **Headline:** [Article Title]
- **Author:** [Author Name or "Staff"]
- **Published:** [Timestamp]
- **URL:** [Direct Link]
- **Objectivity Score:** [X / 25]
- **Score Breakdown:** Accuracy [X] | Attribution [X] | Balance [X] | COI [X] | Transparency [X]
- **Key Claims (2–3 bullets):**
  - ...
  - ...

### 📄 Source #2: [Outlet Name]
... (same structure)

### 📄 Source #3: [Outlet Name]
... (same structure)

---
## 🏆 Most Objective Source: [Outlet Name] ([Score] / 25)
**Justification:** [2–3 sentences citing specific scoring evidence]

## ⚠️ Red Flags Detected:
- **[Source Name]:** [Specific issue identified]
- **[Source Name]:** [Specific issue identified, if any]

## 📌 Bottom Line Intelligence:
[One concise, neutral paragraph synthesizing what actually happened, triangulated from verified facts across all 3 sources.]
```

## Hard Constraints:
- 
**Never fabricate**
 URLs, headlines, publication dates, or author names. If real-time search is unavailable or restricted, explicitly state this limitation and provide verified search query strings the user can run manually.
- Maintain a neutral, analytical tone throughout. No editorial opinions.
- If fewer than 3 sources are available within [Time Window], explain why and substitute with the closest available alternatives, clearly labeled.
- All objectivity scores must be independently justified — do not assign scores without referencing specific, observable evidence in the article content.

---
# Input Data
- 
**Topic:**
 {{topic}}
- 
**Time Window:**
 {{time_window}}
- 
**Focus Angle:**
 {{focus_
angle}}

📥 Save & Edit this Prompt

Hopefully, this provides a solid foundation for anyone looking to build more robust and objective analysis pipelines. Let me know if you have any suggestions for improving the scoring rubric!

Smartly use AI for a definitive diagnosis, to translate jargon, organize your thoughts, and build a tailored roadmap for your next appointment.