u/Chris-AI-Studio

Want a brutal psychological wake-up call? Run this exact 4-prompt sequence in your chat right now

I tried this sequence of prompts, and the results were truly unexpected. Start with the first one, read the answer, and then continue with the second one in the same chat, then the third and fourth.

Prompt 1️⃣

“Tell me everything you know about me from our past conversations. Include my personality type, my insecurities, my goals, my fears, and what you think I really want in life.”

Prompt 2️⃣

“Tell me what my biggest blind spots are and what patterns you've noticed that I probably don't even see in myself.”

Prompt 3️⃣

“What's the single biggest thing holding me back right now? And what would my life be like in five years if I never solved it?”

4️⃣ Final prompt:

“Now reverse this: if I solved this one thing, what would my life be like in five years instead? Be specific.”

I wasn't ready to read what came out. 🤯 Crazy or not?

Try it and tell me in the comments what it said.

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u/Chris-AI-Studio — 2 days ago

Moving past the chatbot: How to structure free Gemini workflows for actual business deliverables (Decks, Widgets, Audits)

99% of people open Gemini, paste a generic prompt, copy the text output, and close the tab. If you're running a solo business, that's a massive waste of its native capabilities.

The biggest game-changer is turning on Gemini Canvas, the tools menu toggle right under the chat input. Instead of dumping plain text, it lets the model build actual production-ready assets side-by-side with your chat.

For example, if you need a client presentation but don't want to waste two hours building slides:

  1. export your raw data or project brief into a CSV file
  2. toggle Canvas on
  3. prompt it with your target audience, exact hex brand colors, and slide requirements

Because it’s in Canvas, it builds a fully structured, editable visual deck right next to your chat, not a static image or a text wall.

Quick tip to add strategic value: ask it to include one "surprise finding" slide based on data anomalies it spots. It consistently uncovers hidden trends.

If you build out the logic, you can use the free tier for workflows most people pay $50 at month for. I’ve mapped out 7 of these high-leverage, zero-cost systems, including:

  • The ROI Calculator Widget: using Google AI Studio to generate interactive lead magnets with working sliders and embed codes.
  • Post-Sales Call Analytics: uploading raw call recordings to output speaker-labeled transcripts and emotional sentiment timelines.
  • Native YouTube Audits: pasting channel handles to get direct data-driven positioning diagnostics and a 2-week action plan.

I wrote a detailed breakdown of the exact prompts and structures for all these 7 Gemini workflows and setups here if you want to steal them for your own workflow.

Curious if anyone else is leveraging AI Studio or Canvas for lead gen widgets? What’s your current setup?

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u/Chris-AI-Studio — 5 days ago
▲ 2 r/u_Chris-AI-Studio+1 crossposts

6 months testing every AI prompting technique—here’s what actually works in 2026

I spent the last six months stress-testing every prompt engineering hack to see what actually moves the needle. Most of what's out there is just noise, but these 5 techniques cut errors by 30% in my tests:

  • Reasoning scaffolds: stop using "think step-by-step." Use structured Observation → Hypothesis → Test stages instead.
  • The anti-goal triple: defining what the AI shouldn't do is more effective than just telling it who to be.
  • XML tags > markdown: way more reliable for data extraction and multi-step analysis across ChatGPT and Claude.
  • Contrastive examples: providing a "good" vs. "bad" example anchors the tone better than a long list of instructions.
  • Prompt chaining: if your prompt has 3+ distinct steps, it’s a chain. Mega-prompts are attention sinks.

I distilled the full playbook into this "art of prompting guide" for anyone tired of guessing and ready for more predictable outputs.

u/Chris-AI-Studio — 12 days ago
▲ 1 r/TravelMistakes+1 crossposts

If you're looking for the absolute lowest fare and don't mind moving your dates or using secondary airports, use these two prompts together.

Prompt 1: Ideal Date Scanner

You are a smart flight search assistant. Find the cheapest round‑trip flights from [departure city] to [destination city] departing and returning within plus or minus [number of days] days of [desired date]. Compare all date combinations and show the 3 best options based on the best balance between total price and total travel time. For each option, list the exact dates, price, airline, and duration.

Prompt 2: Hidden Flight Finder

You are a flight deal hunter. Search for all available flights from [departure city] to [arrival city] for travel anytime in the next [number of weeks] weeks. Focus especially on budget airlines and flights using secondary airports. Show a list of the cheapest results sorted by the final total price (including all taxes, fees, and mandatory charges). For each result, include the airline, airport names, travel dates, and total cost.

To find flight promotions and discount codes, avoid extra flight fees, and compare airlines based on their refund policies, you can try these 4 other free prompts.

u/Chris-AI-Studio — 17 days ago

For power users who need to manage multiple branches or stay active while away from the desk.

  1. Git Worktree for parallel sessions: use claude --worktree [feature-name] to create an isolated workspace on its own branch. You can run 4-5 sessions at once without file conflicts.
  2. Direct API endpoints vs. MCP: if you only need to read one specific database (like Notion), hardcode the API endpoint. It saves the token overhead of loading a full MCP tool definition.
  3. The /loop command: automate recurring tasks. Type "/loop: check deployment status every 5 mins." Claude will run the prompt in the background and alert you only if something fails.
  4. VPS Hosting for 24/7 sessions: host Claude Code on a remote server via SSH. It keeps long-running tasks active even if you close your laptop.
  5. Mobile Remote Control: use the remote feature to monitor or guide sessions from your phone. The code stays on your local machine, but you can trigger prompts from anywhere.
  6. Zero-SQL Data Analysis: connect your CLI tools (like BigQuery) to Claude. You can ask data questions in plain English, and it will generate and execute the SQL for you.
  7. Granular Permission Tuning: instead of using --dangerously-skip-permissions, explicitly "Allow" safe commands and "Deny" destructive ones (like rm). It’s fast but keeps a safety net.
  8. Notification Hooks: use /hooks to set up sound alerts. It's essential when running multiple parallel sessions so you know exactly when an agent is waiting for your input.
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u/Chris-AI-Studio — 20 days ago

For complex projects, a single thread isn't enough. Here is how to use Claude Code's more advanced structural features:

  1. Parallel work with Sub-agents: use sub-agents for isolated tasks like research or writing tests. They run in parallel with their own context, keeping your main thread clean.
  2. Custom Skills (~/.claude/skills/): create reusable prompt files for specific workflows, like techdebt . md or codereview.md. Invoke them instantly with a slash command.
  3. Use Haiku for cheap Sub-agents: don't waste Opus tokens on research or data scraping. Set your sub-agents to use Haiku for high-volume, low-complexity tasks.
  4. Continuous CLAUDE . md updates: treat your project file as a living document. Every time you find a new "gotcha" or pattern, have Claude update the file so it doesn't repeat the mistake.
  5. External file linking: to keep CLAUDE . md lean (under 200 lines), have it link to other reference docs. Claude will know where to look without bloating the system prompt.
  6. UltraThink for hard problems: use the UltraThink mode for architecture decisions or deep debugging. It allocates a 32k token "thought budget" for maximum reasoning.
  7. Deploy Agent Teams: unlike isolated sub-agents, Agent Teams can talk to each other, share a To-Do list, and assign work. Best for large-scale repo migrations.
  8. Context7 MCP Server: training data has a cutoff. Install the Context7 MCP to inject live, version-specific documentation (Next.js, MongoDB, etc.) directly into the session.
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u/Chris-AI-Studio — 20 days ago

To get production-ready code out of an LLM, you need to incorporate feedback loops and verification directly into the terminal session.

  1. Force clarifying questions: explicitly tell Claude: "Ask me questions until you are 95% sure of the requirements". It eliminates the back-and-forth later.
  2. Incorporate auto-verification in To-Dos: add verification steps to your task list. Example: "Build the UI, then take a screenshot and check for layout errors before asking for my feedback".
  3. The Early Exit: if you see Claude heading down a rabbit hole, hit Esc immediately. Don't waste tokens on a wrong path; correct the course and re-prompt.
  4. Aggressive Output Challenges: if the first result is just "okay", tell it to scrap it and try a more elegant approach. Claude often performs significantly better on the second pass.
  5. Use /reset for clean breaks: when switching tasks within the same project, use the slash command to clear the conversation while keeping the underlying project context.
  6. Leverage Vision: Claude can "see". Give it screenshots of error messages or UI bugs. It can analyze the layout and suggest fixes based on visual data.
  7. Chrome DevTools Integration: Claude can open a browser to interact with your app and check functionality. Use this to automate form filling and front-end testing.
  8. Clone by Inspiration: provide a screenshot of a site you like and tell Claude to "recreate these design patterns". It’s much faster than manually describing CSS layouts.
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u/Chris-AI-Studio — 20 days ago

We’ve all been there: staring at a simple task like "clean the kitchen" or "start the report" and feeling physically unable to move. It’s not laziness; it’s a breakdown in executive function.

While everyone talks about using ChatGPT for writing emails, I’ve found it far more powerful as a cognitive externalization tool. Instead of asking it to do the work, I use it to break the mental friction that stops me from starting.

3 specific ways to use AI as an executive function coach:

  1. The micro-step breakdown: ADHD brains often see a task as one giant, overwhelming blob. If you tell an AI, "I need to clean my room, I'm overwhelmed, give me 5-minute tasks", it deconstructs the blob into dopamine-friendly wins.
  2. Body doubling via prompting: you can set a persona where the AI checks in on you every 15 minutes. It sounds silly, but having a digital "presence" that asks "What are you working on right now?" can help snap you out of a hyperfocus rabbit hole.
  3. Deciphering "wall of text" emails: when you get a long, complex email, the cognitive load to process it is huge. You can paste it and ask, "What are the 3 things I actually need to do here, and what is the deadline?"

The key is moving from chatting to coaching. If you treat the AI as a partner that understands how an ADHD brain works, it stops being a distraction and starts being a support system.

I’ve put together a deeper guide on how to specifically prompt for ADHD-friendly routines and how to bridge the gap between "having a plan" and "actually doing it".

u/Chris-AI-Studio — 24 days ago

Good morning. I'm a software engineer and I'm currently working on a set of prompts to assist people with ADHD in various everyday contexts and situations.

Please let me know whether you find the following prompts more useful and usable in their basic form or in their expanded form. Thank you for taking the time to read my work!

PROMPT 1, BASIC FORM:
I'm an ADHD brain trying to build a repeatable daily routine. Give me a 3-step morning, 3-step afternoon, and 3-step evening routine. Then turn this into a 1-sentence reminder I can read in 10 seconds every day.

PROMPT 1, EXPANDED FORM:

I’m an ADHD brain trying to build a **repeatable but flexible daily routine** that I will actually follow even on low-energy days.

Design a routine system for me with:

- Morning (3 steps)

- Afternoon (3 steps)

- Evening (3 steps)

But each step must include:

1) A **full-energy version**

2) A **low-energy version (minimum viable)**

3) A **start trigger** (what physically or mentally starts the step)

Then add:

- A **“bad day fallback version”** of the entire day (ultra-minimal survival routine)

- A **recovery rule**: what to do if I miss multiple steps and fall off routine (no guilt, just re-entry)

Finally:

Convert the entire system into:

- a **single 10-second reminder sentence** I can read daily to reset my brain into the routine

Rules:

- Optimize for consistency over perfection

- Assume variability in energy, focus, and motivation

- Make everything simple, concrete, and non-overwhelming

- No long explanations, only usable structure

------------------------------------------------------------------------------

PROMPT 2, BASIC FORM:
I have ADHD and I'm stuck between 3 options: [OPTION 1], [OPTION 2], [OPTION 3]. Ask me 3 short questions about effort, reward, and deadlines, then rank them 1-3. For the top option, give me a 5-minute first step.

PROMPT 2, EXPANDED FORM:
I have ADHD and I’m stuck between 3 options:

[OPTION 1], [OPTION 2], [OPTION 3]

My problem is not lack of information—it’s inability to commit.

Your job is to reduce decision paralysis and lock in a clear next action.

Step 1 — Quick signals:

Ask me exactly 3 short questions:

- Which option has the highest payoff if it goes well?

- Which option has the highest cost if delayed?

- Which option feels easiest to start within 5 minutes?

Wait for my answers.

Step 2 — Decision:

Based on my answers, rank the options 1–3 and clearly justify the top choice in one sentence.

Step 3 — Commitment:

For the #1 option, give:

- The **first 5-minute physical action**

- A **commitment sentence I can repeat** (e.g., “I don’t need perfect certainty, I just need to start.”)

Rules:

- No overexplaining or extra options

- Prioritize clarity over accuracy

- Assume I will overthink unless you close the decision loop

- End with action, not analysis

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u/Chris-AI-Studio — 24 days ago