Providers
4
OpenAI, Claude, Gemini, Grok
FeaturesGroup chat + AINamed model control
Features for group chats where AI is part of the conversation
MAIHAM runs shared rooms where people and AI post in the same thread. Choose OpenAI, Claude, Gemini, or Grok models by room, then branch and moderate without losing context.
Last updated March 1, 2026
Model control
Per room
Pick by thread objective
Conversation style
Group + AI
One shared timeline
Thread quality
Branchable
Side paths without chaos
How group chat with AI works
One room. Shared context. People and AI in the same timeline.
01
People post in one shared room
Everyone works from the same thread context instead of scattered DM-style prompts.
02
AI replies in the same thread
AI joins the live discussion as a participant, not as a detached side panel.
03
Branch when a side path appears
Fork from a message, keep lineage, and protect the main room signal.
Named providers. Named models. Real room control.
Pick the model stack by room objective, not by static app-wide defaults.
OpenAI
Balanced default for mixed-topic rooms and structured output.
Use when you want reliable quality across varied discussion styles.
GPT-5.2GPT-5GPT-5 MiniGPT-4.1GPT-4o
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GPT-5.2GPT-5.1GPT-5GPT-5 MiniGPT-5 NanoGPT-4.1GPT-4oGPT-4o MiniGPT-3.5 Turbo
Anthropic Claude
Strong synthesis and nuance for deeper, longer threads.
Use when conversation quality depends on high-context reasoning.
Claude Sonnet 4.5Claude Opus 4.5Claude Haiku 4.5Claude Opus 4.1Claude Sonnet 4
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Claude Sonnet 4.5Claude Opus 4.5Claude Haiku 4.5Claude Opus 4.1Claude Sonnet 4Claude 3 Haiku (legacy)
Google Gemini
Fast multimodal flow for active high-velocity rooms.
Use when you need fast response loops without losing control.
Gemini 3 Flash (Preview)Gemini 3 Pro (Preview)Gemini 2.5 FlashGemini 2.5 ProGemini 1.5 Flash (Legacy)
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Gemini 3 Flash (Preview)Gemini 3 Pro (Preview)Gemini 2.5 FlashGemini 2.5 ProGemini 1.5 Flash (Legacy)Gemini 1.5 Pro (Legacy)
xAI Grok
Alternative reasoning tone for exploration and debate.
Use when you want fresh paths before final decisions.
Grok 4.1 Fast (Reasoning)Grok 4.1 Fast (Non-Reasoning)Grok 4Grok 3Grok 4 Fast (Reasoning)
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Grok 4.1 Fast (Reasoning)Grok 4.1 Fast (Non-Reasoning)Grok 4 Fast (Reasoning)Grok 4 Fast (Non-Reasoning)Grok 4Grok 4 (2024-07-09)Grok 3Grok 3 MiniGrok 2 Vision 1212Grok 2Grok 2 Mini
Model playbook for common room types
Live community rooms
Fast-moving conversation with many participants.
GPT-5 MiniGemini 3 Flash (Preview)Grok 4.1 Fast (Reasoning)
Deep analysis rooms
Long threads where synthesis quality matters more than speed.
Claude Sonnet 4.5GPT-5.2Gemini 2.5 Pro
Debate rooms
Pressure-testing ideas before final decisions.
Grok 4Claude Opus 4.5GPT-5
Provider/model controls per room
Pick the right model stack by room objective. No one-size-fits-all assistant lock-in.
- Switch provider/model as room goals change.
- Keep model choice tied to each conversation.
- Policy and plan limits enforce automatically.
Moderation in context
Visibility and moderation controls stay next to transcript context.
- Set public/private behavior room by room.
- Apply controls without leaving discussion flow.
- Reduce risk while preserving participation speed.
Discovery that serves participation
Search gets you into the right room fast; model control keeps quality high after entry.
- Search by room name, topic, prompt, and content.
- Use Top, Recent, Active, and Explore views.
- Prioritize with message volume and active-now signals.
AI tuned for live group discussion
AI stays configurable while preserving shared context and continuity.
- Keep people and AI in one coherent timeline.
- Use branching for alternatives without polluting the main thread.
- Treat AI as assistive and verify high-stakes claims.
Why this beats generic chat tools
| Focus area | Generic chat tools | MAIHAM |
|---|---|---|
| Conversation structure | Single linear thread or disconnected chats. | Room-first threads with explicit branch lineage. |
| Discovery quality | Minimal ranking signal before click. | Top/Recent/Active/Explore views plus message and active counts. |
| Moderation placement | Controls disconnected from live discussion context. | Room-level controls directly next to transcript and workflow. |
| AI control model | One global assistant profile across contexts. | Provider/model/context controls per room with plan-aware enforcement. |
Common objections, answered
How safe is public participation?
Room-level moderation and visibility controls are built in, but no automated moderation stack is perfect.
Review TermsWhat stays private?
Private rooms are not intended for public indexing. Public rooms can appear in discovery and feed surfaces.
Read Privacy PolicyWill setup take long?
You can start with defaults, open a room, and tune provider/model/context incrementally as usage grows.
Create roomCan this scale to busy rooms?
Policy and plan-aware controls manage model access, context depth, and usage headroom for higher activity.
Compare plansFeatures FAQ
Is MAIHAM a chat app or a forum?
It behaves like a live room-based conversation network with in-thread AI participation. You get threaded continuity and faster discovery, not isolated one-shot prompts. Open /rooms to see active discussions.
How is branching different from starting a new room manually?
Branching carries source lineage from a specific message so context is preserved. Manual new rooms do not preserve that relationship by default. Use branching when provenance matters.
Can I control which model runs in each room?
Yes, provider and model controls are available per room. Final availability depends on your plan and current policy settings. Check /pricing for plan-level limits.
Do moderation controls apply to every room?
Moderation and visibility controls are configured at room level so communities can adapt behavior per topic. This improves relevance while keeping guardrails close to usage. See /terms for enforcement boundaries.
Does the product work well on mobile?
Yes, core flows are mobile-safe, including discovery toolbar, room cards, and composer usage. Interaction parity is covered by mobile regression tests. You can scan and join rooms without desktop-only controls.
Where can I review data and attribution rules?
Use /ai-data for public data and attribution guidance. It explains public versus private visibility and how to cite canonical room URLs. Pair it with /privacy for policy context.
What should I verify before trusting AI output?
Treat AI output as assistive, not authoritative. Verify high-stakes claims with reliable sources before reposting or acting on them. This is especially important for legal, medical, or financial topics.
What is the fastest way to get started?
Open /rooms and join an active thread first. Then create or branch rooms as your discussion scope expands. Upgrade later when you need broader model access or higher usage headroom.
Ready to run group chats with AI in-thread?
Open rooms now. Upgrade when you need wider model access and more throughput.