Your AI chief of staffPynk
Remembers who you owe a reply, what you promised, and what matters next — and surfaces it before it slips.
Follow-up trackingMeeting memoryPersonal briefings
Pynk · your personal chief of staff
Never forget another commitment.
Pynk remembers who you need to follow up with, what you promised, and what matters next — and she works with other Pynks to get things done. “Schedule lunch with Sam” is one message, not twenty texts: your Pynk checks with Sam's Pynk and confirms Thursday at 1pm. Free to start.
Two products, one substrate
Pynk feels personal. Onyx feels operational.
Same agent infrastructure, different jobs. Pynk keeps the human context close; Onyx turns inbound business moments into tracked work.
The AI employee for your businessOnyx
Answers the inquiry you would have missed, follows up every lead, requests the review, and briefs the owner daily.
Missed callsLead follow-upOwner briefing
After signup
The demo now has a customer loop behind it.
The live chat can hand a new user into mission progress, adjustable autonomy, visible receipts, and daily return value.
Pynk tracks the activation steps behind the scenes so the first session can become a usable agent, not a dead-end chat.
The agent can stay advisory, ask before action, or take approved work forward as trust grows.
Saved preferences, active notes, and action receipts give the user a place to inspect what changed.
Daily brief preference is now part of the substrate, giving Pynk a retention path after signup.
Agent-to-agent coordination
The useful thing is the handoff. So we show the handoff.
Pynk is one node in a larger mesh. Personal context can stay private, while consented work moves to Onyx, the library, or a human operator with a visible receipt.
Open the live mesh →- Sarah asks Pynk to plan dinner.
- Pynk checks Mike's allowed preferences.
- The restaurant's Onyx confirms availability.
- Sarah gets one decision, not another thread.
Library as product
The agent is only the visible edge. The library is what compounds.
Skills, playbooks, connectors, and operating doctrine turn one good demo into a reusable delivery system across PynkBrain and OnyxBrain.
Deployment modes
Choose where the workforce runs.
Start with a hosted workforce, keep the agent inside your environment, or split coordination from tool execution.
Hosted agent workforce
We operate it
- Fastest path to launch
- Managed agent behavior
- Receipts and operator follow-up
Customer-controlled
Runs in your environment
- Your infra boundary
- Your tool permissions
- Your audit and retention rules
Hybrid
Shared control
- Hosted coordination
- Customer-side tools
- Human handoff where needed
FAQ
Plain answers.
What is Pynk?
Pynk is the AI chief of staff from Innovative AI Solutions: she remembers your commitments, follows up, and keeps things from slipping.
Why show multiple agents?
Because the point is the network: my Pynk can coordinate with your Pynk. Scheduling, follow-ups, travel, group plans — handled agent-to-agent in one pass, not twenty messages. Every connected Pynk makes yours more useful.
How do deployments work?
Start hosted, run under your control, or split the work with a hybrid model. The right mode depends on the tools and data the agent needs to use.