Ryan Hart Profile picture
Jun 30, 2025 14 tweets 5 min read Read on X
Grok 3's PDF rendering is insane.

From a simple prompt, you can create PDF docs like research papers, resumes, invoices, business proposals, and even e-books.

Here are 10 wild examples:

(Prompts + demos included ↓)
1. Investor Pitch Deck

Prompt:

“Draft a 12‑slide PDF pitch deck for FlowAI (pre‑seed SaaS). Include problem, TAM/SAM/SOM, solution, GTM, traction placeholders, team bios, and ask.”
2. Product Requirements Document (PRD)

Prompt:

“Create a PRD PDF for a mobile feature: in‑app voice search. Cover user stories, acceptance criteria, wireframe boxes, and launch KPIs.”
3. Quarterly OKR Report

Prompt:

“Generate a Q2 engineering OKR report (PDF) with progress bars, traffic‑light status colors, blockers, and next‑steps table.”
4. Clinical Study Protocol

Prompt:

“Write a IRB‑ready PDF protocol for a Phase II trial on wearable glucose sensors objectives, methodology, ethical safeguards, Gantt‑chart timeline.”
5. Travel Itinerary + Budget

Prompt:

“Plan a 10‑day Japan trip for two, mid‑range budget. Include daily schedule, transport links, hotel recs, cost table, and QR codes for bookings export as PDF.”
6. Marketing Campaign Brief

Prompt:

“Craft a PDF brief for a TikTok UGC campaign launching new skincare line: target persona, creative guidelines, deliverables checklist, timeline, and KPI tracker.”
7. Grant Proposal

Prompt:

“Produce a 6‑page PDF grant proposal for a non‑profit installing solar water pumps in rural Kenya. Include problem statement, budget breakdown, and impact metrics.”
8. HR Onboarding Handbook

Prompt:

“Build a PDF onboarding guide for remote hires: company culture, tool stack, 30‑60‑90 plan, benefits table, and clickable resource links.”
9. Gourmet Cookbook e‑Book

Prompt:

“Generate a 30‑page PDF cookbook: 15 Mediterranean recipes, each with photo placeholders, step‑by‑step instructions, macro table, and chef tips.”
10. Legal Contract Template

Prompt:

“Draft a 5‑page PDF service agreement for freelance UX designers. Include scope of work, timeline, payment terms, IP ownership, and termination clauses.”
Extra:

Resume creator:

"Write a 1‑page PDF resume for a full‑stack developer John at Codebase. Highlight TypeScript, PostgreSQL, team leadership, and 3 shipped products. Include contact info, work history, and a short summary paragraph." Image
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More from @thisdudelikesAI

Feb 7
After 3 years of using ChatGPT, I can say that it is the best technology that has revolutionized my life the most, along with the Internet.

So here are 10 prompts that have transformed my day-to-day life and that could do the same for you in 2026:
1. Learn anything from a 20-year expert even if you're clueless

"Pretend you are an expert with 20 years of experience in {industry/topic}. Break down the core principles a total beginner must understand. Use analogies, step-by-step logic, and simplify everything like I’m 5."
2. Brutally honest thought partner to sharpen your thinking

"Act as my personal thought partner. I’ll describe {my idea/problem}, and I want you to question every assumption, point out blind spots, and help me evolve it into something 10x better."
Read 12 tweets
Feb 5
Telling an LLM to "act as an expert" is lazy and doesn't work.

I tested 47 persona configurations across Claude, GPT-4, and Gemini.

Generic personas = 60% quality
Specific personas = 94% quality

Here's how to actually get expert-level outputs: Image
Here's what most people do:

"Act as an expert marketing strategist and help me with my campaign."

The LLM has no idea what kind of expert.

B2B or B2C?
Digital or traditional?
Startup or enterprise?
Data-driven or creative-first?

Garbage in → garbage out. Image
The framework that took me from 60% to 94% output quality:

Every persona needs 5 elements:

1. Specific role + seniority
2. Industry/domain context
3. Methodologies they use
4. Constraints they operate under
5. Output format they'd deliver

Let me break down each one:
Read 17 tweets
Feb 4
After 2 years of using AI for research, I can say these tools have revolutionized my workflow.

So here are 15 prompts across Claude, Gemini, ChatGPT, and Perplexity that transformed my research (and could do the same for you):
1/ LITERATURE REVIEW → Claude Sonnet 4.5

"Analyze these 30 papers on [TOPIC]. Find contradictions, research gaps, and emerging debates. Prioritize findings that challenge consensus."

Why Claude: 200K context window = reads entire papers, not just abstracts. Image
2/ RESEARCH QUESTION REFINEMENT → ChatGPT 4o

"My broad interest: [TOPIC]. Generate 10 falsifiable research questions. For each: explain methodology, expected contribution, and why current literature can't answer it."

Why 4o: Extended reasoning catches scope creep and logical gaps.Image
Read 19 tweets
Jan 31
Anthropic engineers just leaked their internal AI workflow.

Turns out, 99% of people are using LLMs completely wrong.

Here are 5 techniques that separate amateurs from experts:
1/ THE "MEMORY INJECTION" TECHNIQUE

Most people start fresh every time. Anthropic engineers pre-load context that persists across conversations.

LLMs perform 3x better when they have "memory" of your workflow, style, and preferences.

Example prompt to test:

"You're my coding assistant. Remember these preferences: I use Python 3.11, prefer type hints, favor functional programming, and always include error handling. Acknowledge these preferences and use them in all future responses."Image
2/ REVERSE PROMPTING

Instead of telling the AI what to do, make it tell YOU what it needs.

Forces the model to think critically about requirements before executing. Reduces hallucinations by 40%.

Example prompt:

"I need to analyze customer churn data. Before you help, ask me 5 clarifying questions about my dataset, business context, and desired outcomes. Don't start until you have all the information."Image
Read 8 tweets
Jan 24
If you want LLMs to do whatever you want, then I found a hack that will help you.

People will pay for these frameworks, but I'm giving you all this for free.

Here are 8 frameworks you can try right now to get the best results from any LLM:
S-Tier (Actually Works):

1. RTF (Role, Task, Format)

- Quality: 8.7/10

- Dead simple. Tell the model WHO it is, WHAT to do, HOW to structure output.

Example: "You are a solutions architect. Design a chat system. Use markdown with sections."

2. COSTAR (Context, Objective, Style, Tone, Audience, Response)

- Quality: 8.4/10
- Comprehensive but not bloated.
- Forces you to think through what you actually need.

The 6 components map directly to how LLMs parse instructions.
A-Tier:

RISEN (Role, Instructions, Steps, End goal, Narrowing)

- Quality: 7.2/10
- Good for multi-step tasks.
- The "Narrowing" component (constraints) prevents scope creep.

But too rigid for creative tasks.
Read 9 tweets
Jan 23
I DON’T UNDERSTAND WHY PEOPLE PAY FOR COURSES ANYMORE.

Most courses are generic and outdated.
Claude builds custom curriculums based on your exact goal.

Here are 8 prompts to replace online courses completely:
1. Build a Personalized Learning Curriculum From Scratch

This replaces generic courses that teach stuff you’ll never use.

Prompt:
"Act as an expert instructor in [SKILL/TOPIC].

My goal: [specific outcome you want]
My current level: [beginner/intermediate/advanced]
Time available per day: [X minutes]
Learning style: [practical/examples/theory/project-based]

Create a personalized learning curriculum that includes:

1. Clear learning roadmap (step-by-step)
2. Core concepts I must master (in order)
3. What to ignore to avoid overwhelm
4. Real-world skills over theory
5. Weekly milestones
6. Practice tasks after each section
7. Common beginner mistakes to avoid
8. How I’ll know I’m improving
9. Final outcome I should be able to achieve

Design this like a private mentor, not a course."
2. Turn Any Skill Into a 30-Day Learning Plan

This is how you make progress fast without burning out.

Prompt:
"Create a 30-day learning plan for [SKILL].

Constraints:

No fluff
No filler content
Focus on leverage

For each day, give:

1. One core concept to learn
2. One practical exercise
3. One real-world application
4. One mistake to avoid
5. Expected outcome for that day

Optimize for results, not completion."
Read 10 tweets

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