Alright, confession time.
I’ve been running around with 47 browser tabs open for the past year. ChatGPT for writing. Claude for analysis. Grok for research. Gemini for... honestly, I forgot why I even opened Gemini half the time.
It’s chaos. And expensive chaos at that.
Then someone mentioned Galaxy.ai in one of our Q&A threads. Claimed it was every major AI model in one dashboard. I rolled my eyes, figured it was vaporware, and then decided to test it anyway.
Spent 72 hours with it. Here’s what actually happened.
What Galaxy.ai Actually Is:
It’s a unified interface for ChatGPT, Claude, Grok, Gemini, and a few others I’m still exploring. One login. One billing dashboard. One chat interface where you pick which model answers your prompt.
Sounds simple. It is. That’s why it works.
But simple doesn’t mean weak. The power is in how you use multiple models together, not jumping between platforms like you’re playing whack-a-mole with browser tabs.
The Real Test: 72 Hours of Actual Use
Day 1: Content Creation Gauntlet
I threw the same blog outline prompt at all four models simultaneously. The topic: “Why most B2B sales teams waste 60% of their AI budget.”
Here’s what each model gave me:
ChatGPT: Gave me a conversational, engaging outline with punchy section headers. Leaned into storytelling. Solid hook about a fictional sales VP named Marcus (ironic, considering Monday’s newsletter). Very “human” voice.
Claude: Delivered the most structured response. Clear hierarchy. Logical flow. Each section had sub-points that actually built on each other. This is the skeleton you’d show a writing professor.
Grok: Added some edge I didn’t ask for but actually liked. Called out specific vendors by name. Referenced recent controversies. Had opinions. This is the outline that would get shares because it’s not afraid to say what everyone’s thinking.
Gemini: Gave me something competent but forgettable. Like asking for a burger and getting a rice cake. Technically food, but you’re still hungry.
I took Claude’s structure, ChatGPT’s conversational hooks, and Grok’s spicy takes. Published the post on LinkedIn. It performed 40% better than my usual solo-model content. Three inbound leads in the first 48 hours.
Day 2: Data Analysis Throwdown
Fed a messy spreadsheet of customer feedback (247 responses, mix of quantitative ratings and open text) into the system. Asked each model to identify patterns and suggest product improvements.
The prompt I used:
“Analyze this customer feedback data. Identify the top 5 pain points mentioned. For each pain point, tell me: (1) How many customers mentioned it, (2) What exact language they used, (3) What product change would address it. Rank by business impact.”
Here’s how they performed:
Claude: Crushed it with detailed analysis. Found patterns I completely missed. Grouped similar complaints even when customers used different words. Gave me exact quotes to reference. This is your research analyst who actually reads every response.
ChatGPT: Gave me the “so what” narrative. Took Claude’s findings and turned them into a memo I could send to the product team. Less detail, more context. This is the translator between data and decisions.
Grok: Found an edge case that 11 customers mentioned in different ways. They all wanted a specific integration that wasn’t on our roadmap. Would’ve missed it without Grok’s tendency to look for outliers.
Gemini: Gave me surface-level stuff I already knew. It’s like asking for deep insights and getting a summary of the summary.
Combined insights led to a feature update our customers actually asked for. Shipped it two weeks later. NPS jumped 8 points.
Day 3: The Email Stress Test
Wrote a high-stakes client proposal using all four models. $42K deal on the line. Client had specific concerns about implementation timeline and team capacity.
My process:
1. ChatGPT: Drafted the initial proposal. Warm tone, addressed their concerns, positioned our solution.
2. Claude: Asked it to punch holes in the proposal. “What objections would a skeptical CFO raise?” Got 7 specific concerns I hadn’t addressed.
3. ChatGPT again: Revised the proposal to address Claude’s objections.
4. Grok: “Make this 20% more confident without sounding arrogant.” Added some backbone to sections that felt too apologetic.
5. Claude final pass: “Check for logical inconsistencies and unclear sections.” Caught two places where my timeline didn’t match my deliverables.
Client signed within 48 hours. Deal value: $42K. Galaxy.ai paid for itself roughly 840 times over.
Where Galaxy.ai Wins:
Speed: No more logging in and out of different platforms. No “wait, which tab was that in?” moments. You’re in one interface, switching models with a single click.
Comparison: See which model actually answers your question best. I thought I knew which model was best for what. Turns out I was wrong about 30% of the time. Sometimes Claude nails the creative stuff. Sometimes ChatGPT is better at analysis. You only learn this by comparing side by side.
Cost: One subscription instead of four. I was paying $76/month across separate platforms. Galaxy.ai is about $50/month depending on usage. That’s $26 saved monthly, or $312 annually. Not life-changing money, but it adds up.
Workflow: Chat history syncs across models. You can start a conversation in ChatGPT, switch to Claude for deeper analysis, jump to Grok for a fresh angle, all without losing context. Your entire thread is right there.
Where It Falls Flat:
Advanced Features: You lose some native tool integrations. ChatGPT’s Canvas mode for collaborative editing? Not available. Claude’s Artifacts for generated content? Gone. If you rely heavily on these, Galaxy.ai might frustrate you.
Speed Variance: Sometimes one model lags while others fly. I’ve seen Claude return results in 2 seconds while Gemini takes 15. Not a dealbreaker, but noticeable when you’re used to native platforms.
Mobile App: Exists, but it’s not as smooth as the web version. If you do a lot of mobile prompting, the native apps are still better. Galaxy.ai is built for desktop power users.
Honestly, those are nitpicks. For 90% of what I do daily (writing, analysis, research, editing), Galaxy.ai beats juggling separate accounts.
Your Tactical Takeaway: The Multi-Model Content Strategy
Here’s the exact workflow I now use for any content creation. Takes about 5 minutes start to finish, produces content stronger than anything one model could create alone.
Step 1: Ideation (ChatGPT)
“Give me 10 angles for a LinkedIn post about [TOPIC]. Make it punchy. I want hooks that make people stop scrolling.”
Pick the best angle from ChatGPT’s output. Don’t overthink it. Your gut knows which one hits.
Step 2: Structure (Claude)
“Take this angle: [PASTE BEST IDEA]. Build a 3-part post structure with hook, body, and CTA. The hook needs to create curiosity. The body needs one clear insight. The CTA should be low-friction.”
Claude gives you the scaffolding. This is your blueprint.
Step 3: Edge (Grok)
“Rewrite this hook to be 30% more provocative without being obnoxious: [PASTE HOOK]. I want it to have an opinion, not just state facts.”
Grok adds the spice. It’ll push you outside your comfort zone. Sometimes you’ll dial it back. Sometimes you’ll realize bland was your problem.
Step 4: Polish (ChatGPT)
“Final pass. Tighten this up, fix any awkward phrasing, make sure it flows naturally: [PASTE FULL POST].”
ChatGPT smooths the rough edges. Makes it sound like you, not a committee.
Run that sequence in Galaxy.ai, and you’ll have content that’s stronger than anything one model could produce solo. I’ve used this for LinkedIn posts, email newsletters, sales scripts, even video scripts.
The Pricing ROI Breakdown:
Let’s talk actual numbers, because “it saves money” is vague and useless.
What you’d pay separately:
• ChatGPT Plus: $20/month
• Claude Pro: $20/month
• Grok Premium: $16/month
• Gemini Advanced: $20/month
Total: $76/month or $912/year
Galaxy.ai cost: About $50/month (varies by plan and usage)
Annual cost: $600
Savings: $312/year
But here’s the real ROI: time. I’m saving about 45 minutes daily by not context-switching between platforms. That’s 5.6 hours per week. 23 hours per month. 273 hours per year.
If your time is worth even $100/hour (and it should be), that’s $27,300 in annual value. The tool pays for itself in the first week.
The Decision Framework: Who Should Use This
You should use Galaxy.ai if:
• You’re already paying for multiple AI subscriptions
• You regularly compare model outputs to get better results
• You’re tired of managing 47 browser tabs
• You value workflow efficiency over having every advanced feature
• You work primarily on desktop
Stick with native platforms if:
• You rely heavily on Canvas, Artifacts, or other advanced features
• You’re only using one model consistently
• You’re on free tiers and don’t plan to upgrade
• You do most of your AI work on mobile
• You like having separate contexts for different projects
For me, the choice was obvious. I was already deep into paid plans. I was already comparing outputs manually. Galaxy.ai just made my existing workflow cleaner.
Common Mistakes When Starting (And How to Avoid Them):
Mistake 1: Asking the same prompt to every model
Why it’s wrong: You’ll get similar answers with slight variations. Waste of time.
What to do instead: Use models sequentially. Start with one, use its output to create a better prompt for the next. Build on each response.
Mistake 2: Not tracking which model does what well
Why it’s wrong: You’ll keep guessing instead of developing a system.
What to do instead: Keep notes for two weeks. “Claude crushed data analysis. ChatGPT better for email tone. Grok found the edge case.” Build your own decision tree.
Mistake 3: Overthinking model selection
Why it’s wrong: You spend more time choosing than executing.
What to do instead: Pick one, run it, see what’s missing, use another model to fill the gap. Speed beats perfection.
Get Access (Plus the Bonus):
I’ve partnered with Galaxy.ai to get you set up. Use this link to sign up, and you’ll get access to all the models I just walked through.
The bonus I’m throwing in: Our custom prompt library (60+ tested prompts organized by use case). These are the exact prompts I use for content creation, client work, research, and analysis. Each one includes notes on which model performs best.
Just forward your Galaxy.ai confirmation email to [email protected] with subject line “Prompt Library” and I’ll send it over within 24 hours.
Stop paying for tools you’re not using efficiently. Start using the ones that actually stack.
Jordan Hale
The AI Newsroom
P.S. If you want the full system for content creation, lead gen, and client delivery, the AI Business Accelerator ($97) includes this workflow plus 12 others. Built for people who want results, not theory. Comment “ACCELERATOR” to get access