TavernAI vs Decision AI

TavernAI lets you run AI roleplay chats locally on Windows or Linux with full control over characters, prompts, and story branches. Version 2.3 ships as a portable 300 MB download that stores every conversation on your machine and connects to your own model provider or loads GGUF language and vision models with CPU, CUDA, or Vulkan.

Where most character chat apps lock you into one cloud API and a single persona per thread, TavernAI 2 treats each character as a full prompt system inside a card. You get branching swipes, multi-generation replies, dynamic cast changes mid-scene, and a unified Prompt Manager that assembles exactly what the model sees before each request.

The trade-off is setup depth. TavernAI is built for people who want control over prompts, macros, and PM Scripts that turn chats into playable AI games, not a plug-and-play consumer chatbot. You bring the model costs and handle installation, including optional VPS hosting on port 8800.

It fits roleplay communities, fiction writers testing dialogue, and self-hosters who want offline-capable companion chats without surrendering character data to a hosted service. The portable package needs no installer and keeps user data in a local user_data folder beside the app.

Decision AI is a companion for team choices, helping groups make traceable decisions with structured frameworks, async input, and an assistant that organizes options before you commit. The marketing site pitches faster decisions with a searchable history so past rationale survives employee turnover.

Built-in frameworks include pros and cons, best and worst case, evaluation matrix, and risk-impact views so groups compare scenarios without another spreadsheet. Decision AI can brainstorm options, tighten writing, and surface facts from earlier calls, though several assistant features are still marked coming soon on the waitlist page.

Channels keep conversation context attached to each decision, and async workflows let contributors respond on their own schedule instead of adding meetings. Pricing is not public yet; visitors join a waiting list for early access while the product finishes rollout.