Honest ChatGPT review: After extensive use, uncover its true potential and see how it compares to other AI writing tools.
My Year-Long ChatGPT Relationship: More Than Just Another AI Tool
I started using ChatGPT because I was hoping for a quick way to write social media posts. Just a few months later, it’s become something closer to a digital colleague—sometimes brilliant, occasionally frustrating, but honestly changing how I approach writing and thinking. 2 years later, I’ve used AI to scale a social media marketing agency and launch a 6-figure writing course.
I’ve used three different subscription tiers and over 4,000 conversations, so I’m ready to share the real truth that most reviews miss.
Soooo, let’s be funny and real here… ChatGPT isn’t magic. It won’t replace human creativity or critical thinking… YET. But it might be the cringiest yet most powerful thinking partner you’ve never had.
When I first signed up, I expected a sophisticated autocomplete tool. WAIT!!!! What I got instead was a mirror reflecting my own thinking patterns—sometimes clarifying my thoughts, other times exposing the silly gaps in my logic I hadn’t noticed.
The relationship between a human and an AI is weird and controversial. We don’t have cultural scripts for it yet. Is it a tool? A collaborator? A ghostwriter? The answer depends entirely on how you use it, oops!
I’ve seen it transform workflows, watched it fail spectacularly (and I mean SPECTACULARLY) on technical problems, and discovered bold, unexpected ways to enhance my own creativity rather than replace it.
This review isn’t about boring features and pricing tiers. It’s about the authentic debate over what happens when you integrate an AI language model into your daily life and work for an extended period.
What changes? What improves? What becomes cringe?
If you’re wondering whether ChatGPT deserves a place in your digital toolkit, this is my honest, no-holding-back opinion after our year-long relationship. When everyone zigs toward standard AI tool reviews, I’m going to zag and give you the laughable, transparent truth.
Specifications: ChatGPT – What You Need to Know
As we move into the technical details, let’s examine what powers this AI assistant and what you can expect from its various offerings.
Product Details
- Full Product Name: ChatGPT
- Developer: OpenAI
- Pricing:
- Free tier: Available to all users
- ChatGPT Plus: $20/month
- API access: Variable pricing based on usage
- Purchase Options: Available directly from OpenAI’s website
Model Variations
- Free Version:
- Based on slightly older model architecture
- Subject to usage limitations during high traffic
- Web-based access only
- ChatGPT Plus ($20/month):
- Priority access during high traffic periods
- Faster response times
- Early access to new features
- Access to GPT-4 capabilities
- API Access:
- Developer integration options
- Custom implementation possibilities
- Usage-based pricing model
Technical Capabilities
- Architecture: Based on Generative Pretrained Transformer (GPT) technology
- Input/Output: Processes text inputs, generates human-like text responses
- Knowledge Cutoff: Varies by model version (typically several months before current date)
- Interaction Method: Conversational interface
- Usage Limitations: Rate limits apply to all tiers
- Languages Supported: Primary support for English with growing capabilities in other languages
Intended Applications
- Individual Users: Research assistance, learning, creative writing, problem-solving
- Business Users: Content creation, customer service automation, data analysis
- Developers: Integration into apps, websites, and software solutions
- Educators: Teaching tool, research assistant, content creation
- Content Creators: Brainstorming, editing assistance, content enhancement
Feature Set
- Text generation across multiple formats and styles
- Question answering with context retention
- Code writing and debugging assistance
- Language translation and explanation
- Content summarization and expansion
- Conversational memory within single sessions
The speed at which ChatGPT processes complex requests—often delivering thoughtful responses in seconds—sets the stage for how this AI assistant performs in daily use scenarios.
My Honest ChatGPT Review (after extensive use)
)After a long time of daily use, I’ve formed a clear picture of what ChatGPT truly offers beyond the hype. This is obviously the muther of all AI tools… and this ain’t just another AI tool review; it’s my personal journey from skeptical first-timer to someone who now uses it daily, but with important caveats.
PS if you are new to this blog, check out my latest post on AI writing here!
First Impressions: The Setup Experience
My introduction to ChatGPT was refreshingly simple. Unlike most new tech that requires downloads, installations, and configuration, I simply created an account on OpenAI’s website and within minutes was staring at a clean, minimal interface with a text box inviting me to ask anything.
The lack of complexity was my first positive surprise. No tutorial needed. Just type and receive answers. But this simplicity was also deceptive. I initially thought, “That’s it? I just type questions?” which led to my first disappointment: asking basic questions resulted in Wikipedia-like answers that didn’t feel particularly special.
My first “wow” moment came on day two when I started playing around with prompts to try to write a LinkedIn post. It to helped me draft a pretty solid hook and good post idea in about 10 minutes of prompting and reprompting. I then let my years of copywriting experience kick in and edited a final product in a few minutes.
At that point, I was really struggling to write content because I was going sober, and well, creativity was a problem. I realized pretty quickly that I didn’t need to hire and train another writer….. I just needed to master ChatGPT (my new thinking partner).
The Learning Phase: Finding The Right Approach
The Prompt Learning Curve
The learning curve wasn’t about figuring out buttons or settings; it was about learning how to communicate with an AI. My first week was filled with much frustration as I received generic, sometimes bland post ideas and responses that didn’t match what I knew the tool could do based on what a rew others had shared on LinkedIn and Twitter.
By the end of week one, I realized the key skill wasn’t using ChatGPT, it was knowing how to prompt it effectively. I started keeping a document of prompts that worked well, noting patterns in what produced good results versus mediocre ones.
Breaking Through The Generic Response Barrier
My breakthrough came when I started treating ChatGPT like a colleague rather than a search engine. Instead of asking:
“Write me a LinkedIn post about remote work trends”
I tried:
“I need to write a LinkedIn post for a 7-figure startup founder who is building a newsletter about ChatGPT and how to utilize AI while working remotely. I also need you to write short sentences and make sure you avoid buzzwords. Please end the post with a call to action that is a question about the post you’ve written. By the way, you have 100 years of copywriting experience.”
The difference was night and day. The first approach gave me generic content. The second gave me thoughtful, specific content that actually matched my needs.
Time to proficiency: About 10 days of consistent use before I felt confident in my ability to get reliably good results.
Real-World Testing: How I Put ChatGPT Through Its Paces
To truly understand ChatGPT’s capabilities and limitations, I tested it across multiple scenarios:
Content Creation Tests
I asked ChatGPT to create various types of content:
- Email drafts for client communication
- Social media posts for different platforms (primarily LinkedIn though)
- Project proposals
- Creative writing prompts
Results: Strongest with content like social media posts and writing prompts. Weakest with creative stories and projects, where it often defaulted to predictable patterns and clichés.
Research Assistant Tests
I used ChatGPT to:
- Summarize complex articles
- Extract key points from research papers
- Compare different viewpoints on topics
- Generate questions for further research
Results: Excellent at summarizing and identifying key points, but sometimes missed nuance in complex arguments. Most reliable when I provided specific source material rather than asking it to generate information from its training.
Problem-Solving Tests
I challenged ChatGPT with:
- Technical troubleshooting
- Simple programming tasks
- Logic puzzles
- Decision-making frameworks
Results: Surprisingly good at suggesting troubleshooting steps and explaining programming concepts. Less reliable for actual code generation beyond simple functions. Excellent for creating decision frameworks.
Stress Testing
To find its breaking points, I tried:
- Extremely long, detailed prompts
- Highly technical industry-specific questions
- Ambiguous requests with minimal context
- Multi-part questions with complex relationships
Results: Handles long prompts well but sometimes loses track of details by the end of its response. Often admits knowledge limitations on highly technical topics, which I prefer to incorrect information. Struggles with ambiguity unless given clear parameters.
My Daily Experience: How ChatGPT Fits Into My Workflow
After a few weeks, ChatGPT became integrated into my daily routine in specific ways…
Morning: I ask it to summarize news in my industry and suggest three topics worth exploring further that day.
Afternoon: When faced with writing blocks, I use it to generate outlines or starter paragraphs that I can build upon. The key is always significant editing after the fact.
Evening: Occasionally, I use it to help plan the next day’s schedule based on my priorities and deadlines.
The most unexpected discovery has been how ChatGPT helps me clarify my own thinking. By asking it to analyze a problem I’m stuck on, I often find that the very act of formulating the question helps me see solutions I hadn’t considered.
My biggest frustration remains its tendency to provide overly safe, generic responses unless properly prompted. Even now, I still occasionally get answers that feel like they were written for everyone and no one.
Community Insights: How Others Are Using ChatGPT
Through online forums and discussions with colleagues, I’ve gathered insights into how different users approach ChatGPT:
Professional Users
Professionals tend to use ChatGPT as:
- A drafting tool for communication
- A research assistant for gathering initial information
- A sounding board for ideas
- A translator for technical concepts to simple language
Most professionals report similar experiences to mine—ChatGPT saves time on first drafts but requires significant editing to match their voice and standards.
Students and Researchers
Students typically use it for:
- Understanding complex concepts
- Generating study questions
- Outlining papers and projects
- Explaining difficult material in simpler terms
The common pattern is that successful users don’t ask it to do their thinking for them but rather use it to enhance their own thinking process.
Creative Users
Writers, artists, and creators report mixed results:
- Helpful for overcoming creative blocks
- Good for generating initial ideas
- Less useful for polished creative work
- Sometimes introduces clichés that need to be removed
A common workaround is using ChatGPT to generate multiple options and then picking elements that spark genuine creative thought.
Performance Evaluation: Promises vs. Reality
Marketing Claims Assessment
OpenAI suggests ChatGPT can:
- Generate human-like text responses
- Help with various writing and thinking tasks
- Learn from conversations to improve responses
- Handle a wide range of topics and questions
My experience largely confirms these claims, with important qualifications. The text is indeed human-like, but often lacks the spark and originality of good human writing. It handles many tasks well but fails at others in ways that only become apparent through consistent use.
Limitations I’ve Discovered
After extended use, clear limitations emerged:
- Knowledge cutoff means it lacks recent information
- Sometimes presents incorrect information confidently
- Struggles with tasks requiring true reasoning rather than pattern recognition
- Can produce bland, generic content without specific guidance
- Occasionally gets “stuck” in response patterns that require resetting the conversation

The 70% Rule
I’ve developed what I call the “70% rule” for ChatGPT: it typically gets me 70% of the way to a finished product. The remaining 30% requires my human input—adding nuance, fact-checking, and injecting genuine originality.
This ratio holds remarkably consistently across different types of tasks. Social media drafts need about 30% editing. Research summaries need about 30% verification and expansion. Creative projects need at least 30% human creativity added.
The Bottom Line: Is ChatGPT Worth It?
I’ve found ChatGPT to be a valuable tool that has earned a permanent place in my workflow, with some caveats.
It has genuinely saved me time on routine writing tasks, helped me overcome blocks, and occasionally provided insights I might have missed. I avoided needing to hire human writers for my agency and instead leaned on ChatGPT… During 2024 this was huge for me. The savings alone from this justify its use.
However, success with ChatGPT depends entirely on understanding what it is and isn’t. It’s not a magic solution that produces perfect work at the push of a button. It’s more like having a bright but inexperienced assistant who can give you a head start but requires your guidance and oversight.
The key to satisfaction with ChatGPT is appropriate expectations. If you expect it to do all your thinking and writing for you, you’ll be disappointed. If you see it as a tool that handles the “boring parts” so you can focus on adding your unique human value, you’ll likely find it as useful as I have.
Would I recommend it? Yes, but with the clear understanding that it’s a starting point, not a finish line. The real value comes from learning how to collaborate with it effectively—a skill that takes time but pays dividends in productivity.
ChatGPT stands out not because it can replace human thinking, but because it can extend it when used thoughtfully. It is still the king in 2025!
Dear ChatGPT: My Honest Review After Extensive Use
After spending 2024 and the first half of 2025 intensively testing ChatGPT across various scenarios, I’m sharing my unfiltered assessment based on hands-on experience. As someone who works with AI tools daily, I pushed ChatGPT’s capabilities to understand its true strengths and limitations.
Core Feature Testing Experience
I tested ChatGPT’s key features systematically, beginning with simple prompts and gradually increasing complexity. For prompt responsiveness, I timed responses across different times of day and measured consistency. I documented each interaction, noting when the system excelled and when it struggled.
Prompt Responsiveness
I found ChatGPT’s response time generally impressive. During my testing period, most responses came within 2-3 seconds for standard queries. However, I noticed significant patterns:
- Response times slowed during peak hours (weekdays around 10 AM-2 PM ET)
- Complex, multi-part prompts took 5-8 seconds on average
- When I requested code generation for large functions, response times increased to 10+ seconds
When I stress-tested with back-to-back requests, I experienced occasional throttling, where the system asked me to wait before continuing. This was more common on the free tier than with Plus subscription.
Ease of Use
I found ChatGPT exceptionally accessible, even for users with limited technical background. The interface struck me as clean and straightforward. During my testing:
- I completed tasks without needing to reference help documentation
- The conversation format felt natural and required minimal adjustment
- I could easily start new chats or continue existing ones
- The mobile experience matched desktop functionality well
A standout feature I discovered was the ability to upload and analyze documents. I tested this with various file types and found the implementation smooth and useful for quick document analysis.
Output Refinement Capability
I tested ChatGPT’s ability to refine its responses through follow-up prompts and specific instructions. This feature proved both powerful and occasionally frustrating:
- When I asked for more detailed explanations, the system usually expanded thoughtfully
- I could successfully guide style adjustments (more technical, simpler language, etc.)
- Asking for corrections generally worked well for factual or logical errors
However, I encountered a pattern where ChatGPT would sometimes “lock in” to certain approaches. When this happened, I found that starting a new conversation was more effective than trying to redirect the current one.
Performance Under Different Conditions
I ran continuous tests across various scenarios to measure ChatGPT’s consistency. My benchmarks showed:
- Morning sessions (6-9 AM) consistently delivered faster responses than midday tests
- Weekend performance was notably better than weekdays
- Complex reasoning tasks showed higher variance in quality than straightforward information requests
- When I intentionally made prompts vague, responses became correspondingly general
I found that ChatGPT’s performance declined slightly after extended sessions lasting more than an hour, with responses becoming more repetitive or less creative over time.
Strengths I Discovered
After extensive testing, I found these standout features:
- Adaptability across contexts – I was impressed by how well ChatGPT shifted between technical, creative, and analytical modes based on my prompts
- Memory within conversations – The system tracked details I mentioned earlier and incorporated them into later responses
- Helpful suggestions – When my prompts were unclear, I received useful clarifying questions
- Formatting versatility – I tested output in code, tables, lists, and markdown, finding them consistently well-structured
What impressed me most was the balance between specificity and flexibility. When I asked follow-up questions, even tangential ones, ChatGPT maintained context while adapting to new directions.
Limitations I Encountered
My testing revealed these constraints:
- Information cutoff – I confirmed that ChatGPT lacks knowledge of events after its training cutoff
- Occasional hallucinations – When I asked about specialized topics, I sometimes received plausible-sounding but incorrect information
- Reasoning limitations – Multi-step logic problems sometimes led to errors that persisted despite corrections
- Inconsistent depth – Simple questions often received disproportionately long answers, while complex ones sometimes got surface-level treatment
I found these limitations most noticeable when working on specialized technical problems or asking for specific citations. When the system was uncertain, it tended to over-qualify responses rather than admit knowledge boundaries directly.
Value Assessment
I calculated the cost-benefit ratio for both free and Plus tiers. For the free version, despite limitations in response time and occasional queuing during peak hours, the value is exceptional. The Plus subscription ($20/month) delivered tangible benefits:
- Faster responses during high-traffic periods
- Access to GPT-4’s improved reasoning capabilities
- Priority access to new features
- File upload and analysis capabilities
I tested similar AI assistants and found ChatGPT’s strengths particularly evident in conversation flow and context retention. When comparing direct competitors, I noticed ChatGPT excelled in understanding nuanced prompts but sometimes lagged in providing up-to-date information.
The key differentiator I identified was adaptability – ChatGPT adjusted to my communication style better than alternatives I tested, making interactions feel more productive.
My Testing Methodology
To ensure thorough evaluation, I created a structured testing framework:
- Daily usage sessions (minimum 1 hour)
- Categorized prompts by complexity and domain
- Documented response times and quality
- Tested identical prompts at different times to check consistency
- Compared free tier vs. Plus subscription features
I maintained a testing log that tracked 200+ distinct interactions, categorizing responses by accuracy, helpfulness, and creativity on a 1-5 scale.
Final Verdict: A Powerful Tool With Clear Boundaries
I’ve found ChatGPT to be a valuable productivity assistant with some important limitations. The system excels at drafting content, explaining concepts, and handling conversational interactions. Its ability to maintain context across extended exchanges impressed me consistently.
However, I learned to be cautious when asking for factual information, especially in specialized domains. The most effective approach I discovered was using ChatGPT as a thought partner rather than a definitive information source.
For anyone considering the Plus subscription, my testing suggests it offers meaningful improvements for frequent users. The access to GPT-4 alone justified the cost in my experience, with noticeably better performance on complex reasoning tasks.
What surprised me most was how my usage patterns evolved over the testing period. I found myself moving from simple queries to collaborative problem-solving, where I would outline an approach and use ChatGPT to refine and expand my thinking.
The bottom line: ChatGPT has earned a permanent place in my workflow, with the understanding that it works best as an assistant rather than an authority – a powerful starting point that requires human judgment to reach its full potential.
ChatGPT vs. Alternatives: Making the Right Choice
After testing ChatGPT extensively, I spent time with its main competitors to understand where it truly stands in the artificial intelligence chatbot and language model market. Here’s what I discovered through my comprehensive analysis of these AI-powered productivity and communication tools.
The Current AI Assistant Landscape
I’ve identified these key competitors based on market share, feature similarity, and target audience:
- Claude (Anthropic) – Similar capabilities with distinctive conversational style
- Gemini (Google) – Direct competitor with deep integration in Google ecosystem
- Copilot (Microsoft) – Windows-integrated alternative leveraging OpenAI technology
- Perplexity AI – Research-focused alternative with web search capabilities
These products represent the primary alternatives most users consider when evaluating ChatGPT, each with unique approaches to AI-assisted communication and problem-solving.
Feature Comparison Matrix
Feature Category | ChatGPT (OpenAI) | Claude (Anthropic) | Gemini (Google) | Copilot (Microsoft) | Perplexity AI |
---|---|---|---|---|---|
Core Capabilities | |||||
Text generation | ● | ● | ● | ● | ● |
Reasoning ability | ★ | ● | ● | ● | ○ |
Memory within session | ● | ● | ● | ● | ○ |
Advanced Features | |||||
Real-time web access | ✓ | ✓ | ✓ | ✓ | ★ |
Code generation/debugging | ★ | ○ | ● | ● | ○ |
Image analysis | ✓ | ✓ | ✓ | ✓ | △ |
Document analysis | ✓ | ★ | ✓ | ✓ | ✓ |
Custom GPTs/plugins | ★ | ✗ | △ | ✓ | ✗ |
Performance | |||||
Response speed | ● | ● | ● | ● | ★ |
Factual accuracy | ● | ● | ● | ● | ★ |
Context window | 128K (GPT-4o) | 200K (Claude 3 Opus) | 32K | 128K | 32K |
User Experience | |||||
Interface design | ● | ● | ● | ○ | ★ |
Mobile app quality | ● | ○ | ● | ○ | ● |
Ecosystem | |||||
API availability | ★ | ✓ | ✓ | ✓ | △ |
Enterprise solutions | ✓ | ✓ | ✓ | ★ | △ |
Pricing | |||||
Free tier | ✓ (GPT-3.5) | ✓ (Limited) | ✓ | ✓ (Basic) | ✓ |
Premium tier | $20/month | $20/month | $20/month | $20/month | $20/month |
Legend: ✓ – Feature present, ✗ – Feature absent, ★ – Category leader, ● – Advanced implementation, ○ – Basic implementation, △ – Limited implementation
Where ChatGPT Excels
In my extensive testing, ChatGPT demonstrated significant advantages in several areas:
Versatility and Adaptability
ChatGPT offers remarkable versatility across use cases. Whether drafting emails, generating creative content, explaining complex topics, or assisting with coding tasks, it maintains consistent quality. Its adaptability to different tones and styles—from academic to conversational—sets it apart from competitors that often excel in specific domains but lack this range.
Developer Ecosystem
OpenAI has created the most robust developer ecosystem. The custom GPTs feature allows anyone to build specialized assistants without coding knowledge, while the extensive API documentation and strong developer community foster innovation. During my testing, I found this created a significant advantage over competitors still developing their extension capabilities.
Model Options and Performance
ChatGPT offers tiered access to models with different capabilities:
- Free users access GPT-3.5, which handles basic tasks efficiently
- Plus subscribers ($20/month) access GPT-4o, offering significantly improved reasoning, reduced hallucinations, and multimodal capabilities
This tiered approach provides flexibility for different user needs, balancing cost with performance requirements.
Competitor Strengths
My testing revealed several areas where competitors have advantages over ChatGPT:
Claude: Document Analysis and Safety
Claude (particularly Claude 3 Opus) demonstrated superior document analysis capabilities. When processing long technical documents or complex PDFs, Claude provided more comprehensive analysis with better retention of the document’s structure and meaning. Additionally, Anthropic’s constitutional AI approach resulted in fewer instances of problematic content generation in my stress tests.
Gemini: Google Integration
Gemini’s integration with Google’s ecosystem provides significant advantages for users already invested in Google Workspace. During testing, I found its ability to access and manipulate data across Gmail, Google Docs, and other Google services created workflow efficiencies that standalone ChatGPT couldn’t match without additional tools or plugins.
Perplexity: Real-time Information Retrieval
Perplexity AI’s search-first approach yields notable advantages for queries requiring current information. In my testing, Perplexity consistently provided more up-to-date responses with clear citations to sources. While ChatGPT’s Browse with Bing feature offers similar functionality, Perplexity’s integration of search feels more seamless and produces more comprehensive research results.
Price-to-Value Considerations
Most leading AI assistants have converged on a $20/month premium subscription model, making direct price comparison straightforward. The value proposition varies based on specific needs:
- For general users: ChatGPT offers the most balanced combination of features, with GPT-4o providing excellent reasoning capabilities across diverse tasks
- For research-focused users: Perplexity Pro or Claude offer better value through superior information retrieval and document analysis
- For enterprise environments: Microsoft Copilot’s integration with Microsoft 365 provides workflow advantages that may justify its cost
For budget-conscious users, ChatGPT’s free tier offers more capabilities than most free alternatives, though with the limitation of using the older GPT-3.5 model.
Market Trajectory and Future Outlook
Based on my analysis of recent feature releases and company announcements, the AI assistant market is evolving in several key directions:
- Multimodal capabilities are becoming standard, with all major players now supporting image and audio inputs
- Tool integration is intensifying, with API connections to external services increasing the practical utility of these platforms
- Specialized versions for particular industries or use cases are emerging as differentiation strategies
ChatGPT maintains a leadership position through OpenAI’s aggressive development pace and first-mover advantage, but competition is intensifying. Google’s AI capabilities and Microsoft’s enterprise reach pose significant challenges to OpenAI’s current market dominance.
Making the Right Choice
After spending hundreds of hours testing these platforms, my conclusion is that the “best” option depends largely on specific use cases:
- ChatGPT excels for versatile, general-purpose use across creative, technical, and educational contexts
- Claude stands out for document processing, research assistance, and slightly more nuanced ethical guardrails
- Gemini works best for users deeply integrated with Google’s ecosystem
- Perplexity offers superior performance for research and current events queries
- Copilot provides the most value for Microsoft-centric workplaces
For most users seeking a single solution, ChatGPT’s combination of model quality, feature breadth, and continuous improvement makes it the most compelling overall choice, despite specific advantages competitors may offer in narrower use cases.
The Real Truth About ChatGPT (My 3-Month Verdict)
After putting ChatGPT through its paces, I’m ready to share the honest, no-BS impact this tool has on real-world tasks. ChatGPT claims to be your intelligent sidekick, and let me tell you, it mostly lives up to the hype.
Remember when I boldly claimed ChatGPT would revolutionize productivity? Well, after heavy use, I can confidently say: it absolutely does. For anyone drowning in written tasks or needing a thought partner for brainstorming sessions, ChatGPT is becoming downright essential.
The time-saving factor is critical here. ChatGPT cranks out text lightning-fast, saving me hours on mundane stuff like email drafts, content outlines, and research summaries. It’s at its best when you treat it as a collaborative partner for idea generation. The versatility across different content types, from dry technical writing to wild creative brainstorming, makes it a Swiss Army knife for content.
If you’re expecting ChatGPT to replace your brain entirely, you’re setting yourself up for disappointment. It’s a powerful tool to amplify your work but it’s not perfect (cringe generic responses happen, and its knowledge cutoff is a pain).
For content creators, researchers, or business folks, ChatGPT isn’t just a good option, it’s the obvious choice. Perplexity is right up there as well and coming out with new features at an accelerated rate.
Bottom line: ChatGPT is a powerful ally for boosting productivity and creativity, as long as you’re keeping a human eye on things. After putting it through the wringer, I’m giving ChatGPT a solid 8/10.