A draft, not a deployment
AI proposes one progress-only Goal with zero point awards. Opening it prefills the editor; nothing saves or goes live automatically.
Meet Perkamo AI. Turn an intention into a Goal draft, or get a second look at your program's settings. Built into your workflow. Always under your control.
Optional beta, available when enabled. No separate AI charge during beta.
“Help learners complete their first three lessons. No points, just progress.”
A clear first step for a new learner.
Your app needs to send an event for each completed lesson.
Choose a task, explain what you want to encourage, and confirm sharing your brief and selected settings.
Read the draft or review. Check the assumptions, the settings behind it and what your integration needs to support.
Open a Goal draft in the regular editor. Edit and save it yourself, with the same Live confirmation as manual setup.
Ask Perkamo AI to review selected active rules, Goals and Benefits. Each observation references the configuration it used, so you can inspect the source before deciding.
A focused configuration review, not a complete audit or a prediction of customer behavior.
An Earning rule's daily point cap limits its awards. A Goal counting the same action can still progress.
Check the rule and Goal together before changing either.
AI proposes one progress-only Goal with zero point awards. Opening it prefills the editor; nothing saves or goes live automatically.
With your consent, Google Gemini receives your brief and selected structural settings. We do not fetch customer profiles, event history or credentials for AI context.
AI does not evaluate customer events, issue points or fulfill Benefits. Your saved rules and the existing program engine remain responsible for customer state.
Keep personal data and secrets out of your brief. Google processes shared content under its applicable terms. Read about AI and privacy
When the optional beta is enabled, Space owners and admins can draft a Goal from Program → Goals and request a review from Program views in the Console. Availability can be limited. You can always configure your program manually.
One progress-only, event-count Goal: a target, supported time window and completion behavior, with zero point awards. It can suggest a new event, but your application must send it. Streaks, unique-day targets and deadlines relative to each customer's signup are not supported Goal semantics; AI should explain the gap, not invent them.
No. AI can make mistakes. Goal drafts pass schema and program-rule validation, and review references are checked against the supplied settings. That is not proof that a suggestion fits your business. Review the assumptions, adjust the draft and test the saved configuration before connecting production activity.
During beta there is no separate AI charge or credit purchase. A shared daily company allowance appears in the Console. At capacity, AI pauses without paid overages; manual setup remains available. Drafting and reviews do not create billable engagement. Customer activity after you save a program follows normal pay-as-you-go pricing.
No. Perkamo AI is the built-in, Gemini-powered configuration assistant for Console operators. MCP is a separate integration for working with Perkamo from compatible developer tools and agents, under its own permissions. You do not need MCP to use the Console assistant.
Start in a free Test Space. Explore the program before connecting real customer activity.
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