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Understanding Kakiyo’s backend process helps you appreciate how the AI agent creates natural, personalized conversations that feel genuinely human.

The Complete Workflow

Step 1*: Initial Prospect Processing*

When you provide a prospect list, Kakiyo begins by analyzing each prospect’s current connection status with your LinkedIn profile. Connection check process:
  • Already connected: AI starts direct conversation immediately
  • Not connected: AI sends personalized connection request first
This initial assessment determines the conversation starting point for each prospect.

Step 2*: Connection Request and Acceptance*

For prospects not in your network, the AI sends a connection request and waits for acceptance. Once the invitation is accepted, the real personalization process begins. No notes strategy: Kakiyo can send clean connection requests without notes to keep first touch simple and reduce friction. Performance guidance: Track acceptance trends over time and adjust profile quality, targeting, and messaging strategy if acceptance drops.
Timing is randomized: The AI waits several hours before taking the next step. This random delay mimics human behavior - real people don’t immediately message new connections.

Step 3*: Deep Profile Analysis*

After connection acceptance, the AI returns to the prospect’s profile for comprehensive data collection. This is where the magic of personalization happens. Information gathered includes:
  • LinkedIn posts and recent activity
  • Comments on other posts
  • Profile description and tagline
  • Career history and progression
  • Current role and company details
  • Skills, endorsements, and recommendations
  • Any other publicly available information
This profile review process gives the AI useful context for personalized messages.

Step 4*: Personalized Message Creation*

Using the scraped profile data combined with your prompt instructions and offering details, the AI creates a unique first message tailored specifically to that prospect. Key personalization factors:
  • Recent LinkedIn posts
  • Prospect’s current role and responsibilities
  • Recent career changes or achievements
  • Company context and industry
  • Personal interests or activities mentioned
  • Recent posts or engagement patterns
The message feels natural because it’s built from real information about the prospect, not generic templates.

Step 5: Natural Response Timing

When prospects reply to messages, the AI doesn’t respond immediately. Instead, it waits between 1-8 minutes before generating a response. Why this timing matters:
  • Too fast (instant): Appears robotic and automated
  • Too slow (hours): Prospect loses interest and engagement
  • Random 1-8 minutes: Mimics natural human response patterns
This timing helps maintain natural conversation pacing.

Step 6*: Intelligent Conversation Management*

The AI maintains conversation context and adapts responses based on prospect engagement and previous message history. Conversation intelligence includes:
  • Understanding prospect questions and concerns
  • Handling objections professionally
  • Maintaining conversation flow and context
  • Moving toward meeting booking when appropriate

Step 7*: Human Intervention Capability*

At any point, you can take manual control of conversations while maintaining AI context awareness. Manual intervention scenarios:
  • AI remains active: When you send a manual message, the AI acknowledges your input and incorporates it into future responses. If the prospect replies, the AI continues the conversation naturally, building on your manual message.
  • AI deactivated: You take complete control and handle all responses manually. The AI stops responding until reactivated.
  • AI reactivated: When you turn the AI back on, it analyzes the entire conversation history, including everything said during manual control, and continues seamlessly.

The Human Behavior Simulation

Every aspect of Kakiyo’s operation is designed to replicate authentic human behavior patterns. Randomization elements:
  • Connection request timing
  • Profile analysis delays
  • Response timing variations
  • Message length and style variations
  • Conversation pacing adjustments
Why timing variation matters: Natural pacing improves conversation quality and prevents robotic communication patterns.

Reliability and Safety Controls

Kakiyo includes operational safeguards designed for long-term account health and stable campaign execution. Key controls include:
  • Activity pacing controls
  • Conversation-context continuity
  • Configurable limits for daily operations
  • Manual takeover whenever needed
Use these controls with conservative scaling and quality targeting to keep outreach sustainable.

Continuous Context Awareness

Throughout the entire process, the AI maintains complete conversation context. Whether you intervene manually or let the AI handle everything, it always understands:
  • Full conversation history
  • Prospect’s responses and engagement level
  • Your goals and messaging strategy
  • Appropriate next steps in the conversation
This context awareness enables seamless transitions between AI and human control while maintaining conversation quality and natural flow.
This sophisticated backend process ensures every conversation feels personal, natural, and genuinely human while operating at scale impossible for manual outreach.
Last modified on February 15, 2026