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tailor. vs ChatGPT.

ChatGPT runs in the cloud. tailor. runs on your machine.

ChatGPT is a remarkable product, but every single prompt you send leaves your computer, hits OpenAI's servers, and is retained according to policies you don't control. For a personal "what's the capital of France" question, that's fine. For analyzing a client contract, debugging proprietary code, or writing about anything sensitive, it isn't. tailor. is the closest thing to ChatGPT's workflow that runs entirely on your own hardware.

CapabilityChatGPT (Plus)tailor.
Where inference runsOpenAI's serversYour machine
Data leaves your deviceEvery prompt, every fileNever
Works offlineNoYes (after model download)
Model choiceGPT-4o, GPT-4 Turbo, o-seriesLlama, Mistral, Qwen, DeepSeek, 1000s more (any open GGUF)
Agentic chatYesYes
Document chat / file analysisYesYes , every file type, multimodal
Image generationDALL-E 3 (cloud)Stable Diffusion (local)
Code executionSandboxed Python (cloud)Sandboxed code on your machine
Audio transcriptionWhisper API (cloud)Whisper (local, with speaker labels)
Fine-tune on your dataLimited, via OpenAI's training pipelineLocal LoRA on your hardware (via llama-finetune or mlx_lm.lora) , your data never leaves
Price$20/month$11/month
Vendor lock-inTied to OpenAI's API and modelsModels are open files; portable
Censorship / refusalsTuned to OpenAI's policyPick a model with the alignment you prefer

When ChatGPT is still better

Frontier capability. On the hardest reasoning tasks, the very best closed models (GPT-4o, Claude 3.5 Sonnet) are still ahead of what you can run on a laptop. If you're doing complex multi-step research where raw intelligence matters more than anything else, ChatGPT is still the higher ceiling. tailor. closes the gap on most everyday work, but the very top of the model leaderboard is a cloud-only ceiling.

When tailor. is obviously the right choice

Anything you wouldn't want OpenAI to read. Client contracts, codebases under NDA, medical or legal context, business strategy, financial planning, personal writing, anything covered by HIPAA or GDPR. Anything you want to keep working on a flight, in a SCIF, on a yacht, or in a place where the internet isn't reliable. Anything you want to fine-tune on your own writing or your own data without uploading it.

What about the price difference?

ChatGPT Plus is $20/month. tailor. is $11/month. That's not the main reason to switch , privacy is , but over a year that's $108 you keep. There are no per-token charges, no rate limits, no daily message caps.

Questions

Is the quality of local models actually good enough to replace ChatGPT?
For most day-to-day work, yes. Llama 3.1 70B, Qwen 2.5 72B, and DeepSeek V2 are within striking distance of GPT-4 class models on most benchmarks. For everyday tasks , writing, coding help, summarization, document Q&A , you won't notice a difference. For frontier reasoning, the gap is still real but closing every few months.
Do I need a powerful computer?
It depends on the model. Small models (1B–3B parameters) run smoothly on any modern laptop with 8 GB of RAM. 7B–13B models want 16 GB. 70B-class models want 32 GB+ or a discrete GPU. tailor. shows you which models will run well on your hardware before you download them.
Can I still use cloud models like GPT-4 from inside tailor. when I want to?
Yes. tailor. supports bring-your-own-key cloud providers (OpenAI, Anthropic, and Groq) alongside local models. The keys stay on your device , tailor. doesn't proxy or log anything. Use local for sensitive work, cloud for raw capability when you need it.
What happens to my data if tailor. shuts down?
Nothing. Your conversations, models, and files live on your machine in standard formats (SQLite, GGUF, JSON). Even with no internet and no tailor. servers, the app continues to work. There's no cloud dependency to break.
Try tailor. free for 7 days.
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