Vivold Consulting

Poe adds multi-model group chat support for collaborative AI workflows

Key Insights

Poe has introduced group chats that allow users to collaborate across multiple AI models in a shared thread. This update supports new workflows where people compare responses, orchestrate tools, and coordinate across model types in real time.

Stay Updated

Get the latest insights delivered to your inbox

Poe expands into collaborative AI interactions


The group chat feature brings multi-user, multi-model capabilities to Poe, allowing teams to coordinate and evaluate models side by side.

What’s included


- Shared threads with contributions from different AI models.
- Tools for comparing outputs or dividing tasks by model capabilities.
- Support for collaborative conversations between users and multiple agents.

Why this is important


- Researchers and developers often require parallel model evaluation.
- Multi-model workstreams are becoming common in product and research workflows.
- This expands Poe's role beyond personal experimentation into team collaboration.

Why it matters


- Strengthens the app’s utility for professional AI users.
- Showcases growing demand for multi-agent coordination environments.
- Helps Poe position itself as a hub for orchestrating AI systems.

Related Articles

An AWS knowledge-graph deployment turned 6-month research cycles into 3 weeks - and the blueprint transfers far beyond pharma

An AWS GraphRAG deployment in pharmaceutical research cut R&D cycles by 87% - initial discovery that took six months now closes in three weeks - by fusing siloed internal databases and public literature into one queryable knowledge graph on Amazon Neptune Analytics and Bedrock (running Claude). Every answer comes with verifiable citations and a mapped reasoning path, which is exactly what regulated industries need for compliance. The architecture is modular and, crucially, transferable: any enterprise drowning in fragmented legacy data can copy this pattern.

SpaceX, Anthropic, and OpenAI listings will out-value every US VC-backed exit since 2000 - reshaping vendor economics for everyone

The new NVCA-Pitchbook Venture Monitor dropped a stunning claim: the pending OpenAI and Anthropic IPOs, together with SpaceX's listing, will generate more value than every US VC-backed exit since 2000 combined. SpaceX is already public at $1.77 trillion, and with both AI labs pushing toward trillion-dollar debuts, the trio should land north of $4 trillion - against roughly $70 billion in total US IPO proceeds last year. For anyone buying AI services, the labs' shift to public-market scrutiny will reshape pricing, transparency, and vendor stability.

A 14-person open-source team just became the default way 8.9M developers run local AI - and a lever for slashing inference bills

Ollama, the open-source tool that lets developers run open-weight AI models on their own machines in minutes, raised a $65M Series B led by Theory Ventures ($88M total), revealing it now serves 8.9 million developers monthly and sits inside 85% of the Fortune 500 - with just 14 employees. Founders Jeff Morgan and Michael Chiang previously built Docker Desktop, and they're repeating the play: abstract away the hardware pain, then monetise a cloud tier priced on GPU time rather than tokens. The backdrop is the industry's loudest cost debate: every company with heavy inference bills is under existential pressure to shift routine workloads to open models.