| Product | Campfire |
| Website | campfire.to |
| Category | AI Collaboration / Team Productivity |
| Key Feature | Shared AI conversations with multiple models |
What Is Campfire?
Campfire is a shared workspace where teams collaborate with AI in real-time. Instead of everyone having separate AI conversations that nobody else can see, Campfire makes AI interactions a team activity. Multiple people join the same conversation, bring in different AI models, and build on each other’s prompts and outputs.
The premise is straightforward: AI is useful for teams, but most AI tools are single-player. When three people are working on a product launch and each has a separate ChatGPT conversation about it, knowledge stays siloed. Campfire puts the conversation in a shared space where the team sees, continues, and builds on each other’s AI interactions.
Key Features
Multi-Model Conversations
Use Claude, GPT-4, Gemini, and other models in the same conversation. Switch models mid-thread when one is better suited for the next task — Claude for analysis, GPT-4 for code, Gemini for research. The full context stays in the shared thread regardless of which model generated it.
Real-Time Collaboration
Multiple team members in the same conversation simultaneously. Everyone sees prompts and responses as they happen. Comment on outputs, fork threads, assign follow-ups. It’s Google Docs for AI conversations — multiplayer, not turn-based.
Persistent Workspaces
Conversations are organized into workspaces by project, team, or topic. Past conversations are searchable, referenceable, and continuable. The AI context accumulates — later conversations can reference earlier ones, building institutional knowledge that stays in the workspace.
Who Is This For?
- Teams that use AI regularly and lose work in individual conversations
- Cross-functional teams that need different AI models for different tasks
- Agencies and consultancies that want shared AI workflows per client
- Managers who want visibility into how their team uses AI
Pros
- Multi-model support in one conversation
- Real-time multiplayer AI interaction
- Persistent, searchable workspaces
- Eliminates siloed AI conversations
- Thread forking for parallel exploration
Cons
- Value requires team adoption (single-player use is just another AI wrapper)
- Multi-model support adds complexity for non-technical teams
- Shared conversation history raises privacy considerations
- Depends on API access to multiple AI providers
- Young product in a crowded AI workspace category
Verdict
Campfire solves a real problem: AI interactions in teams are mostly invisible to each other. The person who figured out the right prompt for a task yesterday has that knowledge in their personal chat history. Campfire makes it shared, searchable, and continuable by the whole team.
The multi-model feature is the differentiator. Most AI wrappers lock you into one model. Being able to switch models mid-conversation — use Claude for the analysis, GPT-4 for the code, Gemini for the fact-check — matches how power users actually work, except it happens in a shared thread where everyone benefits.
The adoption challenge is real: Campfire is only valuable when the team uses it together. If half the team keeps their AI conversations in personal tools, the shared workspace has gaps.
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