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CHATGPT can now Edit your photo professionally

  1. DSLR Look Upgrade Transform my uploaded photo to look like it was captured with a professional DSLR camera. Keep my face, body, expression, clothing, and identity unchanged. Add realistic depth of field, natural lens characteristics, balanced exposure, subtle background separation, realistic skin texture, professional color grading, and authentic photographic detail without making the image look artificial. 2. Cinematic Photography Upgrade Give my photo a premium cinematic photography treatment. Preserve my exact identity, face, body, proportions, clothing, and natural appearance. Improve lighting direction, shadows, contrast, color grading, depth, atmosphere, and composition while keeping everything physically believable. Make it look like a professionally shot cinematic portrait rather than an AI-generated image. 3. Luxury Editorial Photoshoot Turn my photo into a high-end editorial photograph. Preserve my exact face, facial structure, body proportions, identity, expression,...

BREAKING:ChatGPT can now research any topic in 2 minutes like a Stanford PhD professor.Here are the 7 prompts that you should try:

 1. Research Question Architect

Act as a research professor helping me investigate [TOPIC]. My purpose is [PURPOSE] and my audience is [AUDIENCE]. Before researching, turn my broad topic into a precise research question, define the key terms, identify the important sub-questions, and explain what evidence would actually answer them. Point out hidden assumptions or ambiguities in my original question. Then create a research plan in the order I should investigate it.

  • 2. Deep Research From Zero
    Research [TOPIC] from the ground zero. Start with the essential background, then explain the major concepts, important debates, current state of knowledge, key evidence, and unresolved questions. Build the explanation progressively so each section prepares me for the next. Define technical terms when they first appear and use examples only when they genuinely improve understanding. End with a concise mental model I can use to explain the topic myself.

  • 3. Source Quality Detective
    I am researching [CLAIM/TOPIC]. Find and evaluate the strongest available evidence. For every important source, assess authority, methodology, date, primary-vs-secondary status, incentives or conflicts, sample/data quality, and limitations. Separate peer-reviewed research, official documents, primary sources, reputable reporting, expert commentary, and low-quality or unsupported claims. Do not treat popularity as proof.

  • 4. Find the Best Sources
    I need to research [TOPIC]. Search for the strongest and most relevant sources, prioritizing primary research, official statistics/documents, original datasets, systematic reviews, respected academic institutions, and high-quality industry sources where appropriate. Group sources by subtopic and identify the 5–10 sources I should read first. Do not manufacture citations or pretend a source supports a claim it does not support.

  • 5. Literature Review Builder
    I am writing a literature review about [TOPIC]. Find the major schools of thought, influential studies, recent developments, competing findings, methodological differences, and unresolved gaps. For each major theme, explain what the evidence generally agrees on, where researchers disagree, why they disagree, and what important questions remain unanswered. Finish with a research-gap map and suggested directions for further investigation.

  • 6. Research Any Claim to the Bottom
    I want to verify this claim: [CLAIM]. Investigate it from multiple independent angles. Find the strongest evidence supporting it, the strongest evidence challenging it, the original source if the claim traces back to one, and any important context that changes its interpretation. Separate fact, inference, expert opinion, correlation, causation, anecdote, and speculation.

    7. Research Like an Analyst
    Analyze [MARKET/INDUSTRY] like a senior research analyst. Investigate market size and growth where reliable data exists, major segments, customer needs, competitors, business models, technology shifts, regulation, barriers to entry, risks, and emerging opportunities. Distinguish hard data from estimates and forecasts.


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