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Stilla

Stilla serves teams coordinating work in chat by helping them mention the assistant in a conversation to start a task.

Affiliate program terms

Commission
Not publicly stated
Commission model
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Commission duration
Not publicly stated
Cookie window
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Attribution
Not publicly stated
Payout frequency
Not publicly stated
Payout method
Not publicly stated
Minimum payout
Not publicly stated
Holding period
Not publicly stated
Approval
Not publicly stated
Approval time
Not publicly stated
Availability
Not publicly stated
Marketing assets
Not publicly stated

What is Stilla?

Stilla serves teams coordinating work in chat by helping them mention the assistant in a conversation to start a task.

For teams coordinating work in chat, the practical workflow may begin by trying to mention the assistant in a conversation to start a task. Other likely buying situations include the need to create drafts such as ads, code, or reports from chat context and to connect existing tools so follow-up work happens from the conversation. This places Stilla at the intersection of Chat-based AI agents, Work automation, Collaborative assistants.

Before choosing the product, a buyer should examine reliability of supported integrations and actions. They should also compare permissions, auditability, and how the system handles ambiguous instructions; for Chat-based AI agents, those two tests expose more about continuing cost, control, and operational fit than a feature count does.

Pricing context
The official product material describes a free starting option. Confirm current limits and paid-plan pricing on the product website.
Free access
Free plan available

Target customers

  • Teams coordinating work in chat
  • Operators who want requests converted into deliverables
  • Early adopters evaluating action-oriented AI assistants

Market niches

  • Chat-based AI agents
  • Work automation
  • Collaborative assistants

Common use cases

  • Mention the assistant in a conversation to start a task
  • Create drafts such as ads, code, or reports from chat context
  • Connect existing tools so follow-up work happens from the conversation

Who is this program a good fit for?

The program fits AI automation educators best when followers are actively trying to mention the assistant in a conversation to start a task. Team-productivity creators and operations consultants can also create useful decision content by testing one factor—reliability of supported integrations and actions—and explaining another: permissions, auditability, and how the system handles ambiguous instructions. A generic Chat-based AI agents list is less convincing because these buyers need evidence that the product can create drafts such as ads, code, or reports from chat context before choosing Stilla.

Suitable creator types

  • AI automation educators
  • Team-productivity creators
  • Operations consultants

Strong fit when

  • The audience includes teams coordinating work in chat with an active need to mention the assistant in a conversation to start a task
  • The creator can demonstrate create drafts such as ads, code, or reports from chat context with realistic inputs and visible results
  • The content can evaluate reliability of supported integrations and actions instead of repeating the product's feature list

May not fit when

  • The audience has no recurring need to mention the assistant in a conversation to start a task
  • The creator cannot test reliability of supported integrations and actions
  • Demonstrations should expose review steps and failed actions instead of equating a chat request with completed work.

How creators can promote it

Suitable channels

YouTubeLinkedInBlogNewsletter
  1. Stilla tutorial: Mention the assistant in a conversation to start a task

    Hands-on tutorial

    Use a realistic input and show the full path to mention the assistant in a conversation to start a task, including setup, output, corrections, and the final result.

  2. Stilla review: what Teams coordinating work in chat should test

    Decision-focused review

    Evaluate reliability of supported integrations and actions and permissions, auditability, and how the system handles ambiguous instructions; finish with a conditional recommendation for the buyer groups on this page.

  3. Stilla vs alternatives for Chat-based AI agents

    Comparison

    Compare how each option handles create drafts such as ads, code, or reports from chat context, who retains control, the ongoing cost, and which audience should choose a different workflow.

Promotion strengths and considerations

Strengths

  • Stilla addresses a concrete buyer task: mention the assistant in a conversation to start a task
  • Creators can demonstrate create drafts such as ads, code, or reports from chat context and let the audience inspect the workflow
  • The purchase decision can be framed around reliability of supported integrations and actions

Considerations

  • Demonstrations should expose review steps and failed actions instead of equating a chat request with completed work.
  • The affiliate platform entry does not state public affiliate terms.

Compare similar affiliate programs

Compare the disclosed commercial terms first, then open each profile to review audience fit, restrictions, and source quality.

ProgramCommissionCookie windowVerification
Stilla (current)Not publicly statedNot publicly statedPartially checked by AffiliateProgram.top
AI FiestaNot publicly statedNot publicly statedPartially checked by AffiliateProgram.top
Appy.AINot publicly statedNot publicly statedPartially checked by AffiliateProgram.top
MagicaNot publicly statedNot publicly statedPartially checked by AffiliateProgram.top

“Not publicly stated” means the current profile does not have a source-backed value. It should not be interpreted as zero or as an unfavorable term.

Sources and verification

Partially checked by AffiliateProgram.top · Last checked 2026/07/16

  • Stilla official product page

    Checked 2026/07/16

    Source
  • Stilla program entry on Dub

    Checked 2026/07/16

    Source

Affiliate terms can change. Confirm material commission, attribution, eligibility, and payout details on the official program page before publishing promotional content.

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