AI, agents,
memory, and connections.
Productiwity helps teams use AI chat, model choice, shared projects, digital twin, universal search, app connections, MCP tools, memory, agents, and scheduled automations without making work feel technical.
Core AI Workflows
Clear AI features for collaborative work.
AI Chat And Model Choice
Chat with AI using the model that fits the job, then switch models when you want another perspective.
- ✦Choose from OpenAI, Anthropic, Google, and more
- ✦Use different models for different chats, branches, and agents
- ✦Ask with files, images, PDFs, and project context
- ✦Keep source links behind important AI answers
App Connections And MCP
Connect everyday apps and MCP servers so AI can help with the work your team already has.
- ✦Use Google Drive, Docs, Sheets, Slides, Gmail, Calendar, Notion, Linear, Jira, ClickUp, and Slack
- ✦Add MCP servers for Sentry, Cloudflare, and custom tools
- ✦Scope connections to the right chat, project, agent, or organization
- ✦Search across connected apps when nobody remembers where work lives
AI Agents And Automations
Create AI agents for repeat team work and let them run manually, from Slack, or on a schedule.
- ✦Give each agent instructions, model choice, memory, tools, storage, and skills
- ✦Run scheduled updates, reminders, digests, and project check-ins
- ✦Share agents and templates with the right people in your organization
- ✦Use write approvals when an agent needs to change something
Memory For Teams
Keep durable context close to the work so people and agents do not repeat the same background.
- ✦Remember durable preferences, decisions, and lessons
- ✦Review, correct, or forget memory from Settings
- ✦Save reusable skills, templates, and project instructions
- ✦Use shared projects so chats, files, memory, and teammates stay together
Universal Search
Find anything across all your connected apps and Productiwity.
- ✦An AI Search agent searches across connected apps and Productiwity
- ✦Find decisions by team, project, source, or topic
- ✦Reduce repeated questions when nobody remembers where something lives
Digital Twin
Build a living work profile from memory, preferences, skills, and project context so AI can help in your style.
- ✦Capture how you or a team likes to work, write, decide, and hand off
- ✦Use profiles and memory to keep solo and team context separate
- ✦Help agents follow team-specific tone, rules, and decisions
- ✦Review and update the context behind your digital twin over time
How Teams Use It
Three steps to
shared AI work.
Create a shared AI space
Start a project for a team, client, launch, or department so chats, files, memory, and people stay together.
Choose a model and ask
Pick the model you want, then ask naturally across files, storage, memory, app connections, and MCP tools.
Automate the repeat
Turn the answer into a branch, team update, memory, agent instruction, or scheduled automation.
AI In Action
Ask with memory.
Share the next step.
Ask a question the way you would ask a teammate. Productiwity can use the model you choose, team memory, files, tasks, conversations, and connected MCP tools to produce an answer your team can act on.
Source-backed answers
Important AI answers include links back to the files, messages, memories, or app records Productiwity used.
Model choice
Try another model on a branch when you want a second take from a different provider.
Memory stays useful
Save decisions and preferences so future chats and agents start with the right background.
1. Final copy — approved in yesterday's thread
2. Open tasks — two owners still need to confirm dates
3. Review notes — design feedback is ready for the team
3 next steps found, 4 sources linked, 2 memories used.
AI Agents & Automations
Save the work
your AI agents repeat.
Give an agent instructions, memory, app connections, MCP tools, and a model. Run it manually, on a schedule, or from a team conversation.
Uses a project's chats, files, memory, settings, and MCP tools to help teammates get oriented quickly.
Helps remember durable decisions, preferences, and lessons so the team and future agents stop repeating background.
Uses messages, connected apps, memory, and your chosen model to draft replies, reminders, and next steps.
Runs saved instructions on a schedule for recurring project updates, reminders, and team check-ins.
App Connections & MCP
Real connections, not generic icons.
Connect the apps your team already uses, then choose which projects, agents, chats, and automations should use each MCP connection.
Productiwity Storage
Team files and project folders
Google Drive
Docs, Sheets, Slides, and files
Gmail
Email search and follow-ups
Google Calendar
Meetings, schedules, and events
Notion
Pages, notes, and team docs
Linear
Issues, projects, and comments
Jira + Confluence
Tasks, pages, and decisions
ClickUp
Tasks, docs, lists, and comments
Slack Chat
Workspace conversations in chat
Custom MCP
Sentry, Cloudflare, and your own tools
Team Controls
Simple controls for
growing teams.
Roles for shared work
Invite teammates into projects and organizations with clear member and admin responsibilities.
Scoped MCP connections
Choose which MCP connections, files, skills, and agents belong in each chat, project, or team space.
Approval before changes
Read-only AI help can happen automatically; write actions can ask for permission before they run.
SSO & SCIM
Organizations that need centralized sign-in and provisioning can use SSO and SCIM.
Ready to bring the team in?
Start with one AI chat, connect the apps and MCP tools you need, then add memory, agents, automations, and teammates as the workflow grows.