In December 2022, OpenAI launched ChatGPT and the world changed. We spent the past month testing it — not as a toy, but as a potential enterprise tool. Here are our measured conclusions.
Why ChatGPT Caught Our Attention¶
We’re not a company that jumps on every trend. But ChatGPT is a different beast. For the first time in history, we have a language model you can converse with in natural language and receive meaningful responses. Not perfect — but meaningful.
We started simple: internal knowledge base queries. Instead of searching Confluence (and let’s be honest — nobody can find anything in Confluence), we tried asking ChatGPT about our internal processes. With context in the prompt. The results surprised us — relevant answers in 70% of cases.
Where ChatGPT Excels¶
Document summarization. Feed it a 10-page technical document and you get an executive summary in seconds. For managers, this is a game-changer.
Code review assistance. Not as a replacement for code review, but as a first pass. ChatGPT reliably catches typical errors — null pointer dereferences, missing error handling, SQL injection risks.
Drafting communication. Client emails, proposals, technical descriptions — a solid draft in seconds instead of 30 minutes of writing from scratch.
Where It Has Limits¶
Hallucinations. ChatGPT makes things up. Confidently, convincingly, and completely wrong. It cites nonexistent libraries, invents API endpoints. In an enterprise context, this is dangerous.
Context window. 4K tokens is woefully inadequate. Real enterprise code simply doesn’t fit.
Data privacy. Company data into ChatGPT? Not a chance. Without guaranteed data isolation, it won’t pass in regulated industries.
Our Internal Rules¶
- No client data, no production code — ever
- Always verify outputs
- Use as a brainstorming partner, not as an authority
- Log usage — we want to know where it delivers value
What We Expect in 2023¶
Microsoft invested $10 billion in OpenAI. Azure OpenAI Service is in preview. GPT-4 promises better reasoning. We’re preparing — building prototypes, testing use cases, training the team.
ChatGPT Is Not Hype — It’s the Beginning¶
A powerful tool with clear limitations. Experiment, but with prudence. In a year, companies that ignored LLMs will be at a disadvantage.
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