AI Assistants

Personal AI Assistants That Work by Rules

Not a chatbot. A role with responsibilities, rules, and real outputs.

24/7 ExecutionTool IntegrationsRules & Control

What you get

Clear roles, controlled execution, and outputs you can use.

A defined role

Your assistant has a clear responsibility and scope.

Clear rules & boundaries

Behavior is constrained by your policies and guardrails.

Outputs, not replies

Deliverables you can use right away, not just chat.

Integrates with your stack

Works inside the tools your team already uses.

Assistant roles

Pick the roles that match your team and workflows.

AI Operations Assistant

Best for: Operations

AI does:

  • Routes tasks
  • Updates systems
  • Summarizes status

Outputs:

  • Daily ops summary
  • Clean task handoffs

AI Sales Assistant

Best for: Sales

AI does:

  • Qualifies leads
  • Writes follow-ups
  • Logs CRM activity

Outputs:

  • Lead briefs
  • Follow-up sequences

AI Marketing Assistant

Best for: Marketing

AI does:

  • Drafts content
  • Schedules campaigns
  • Tracks performance

Outputs:

  • Content drafts
  • Campaign reports

AI Customer Support Assistant

Best for: Support

AI does:

  • Responds to FAQs
  • Routes tickets
  • Escalates issues

Outputs:

  • Resolved tickets
  • Escalation notes

AI Content Assistant

Best for: Content

AI does:

  • Creates outlines
  • Repurposes assets
  • Edits drafts

Outputs:

  • Publish-ready copy
  • Content calendars

AI Analyst / Research Assistant

Best for: Founders

AI does:

  • Collects sources
  • Summarizes findings
  • Builds insights

Outputs:

  • Research briefs
  • Decision memos

AI Developer Assistant

Best for: Dev

AI does:

  • Reviews code
  • Writes helpers
  • Documents changes

Outputs:

  • PR feedback
  • Code snippets

AI QA / Testing Assistant

Best for: QA

AI does:

  • Runs tests
  • Flags failures
  • Logs bugs

Outputs:

  • Test summaries
  • Bug tickets

Rules & control

Assistants run inside boundaries you define.

Role definition

Clear scope, responsibilities, and success metrics.

Rules & guardrails

Behavior governed by policies and approval logic.

Approved tools only

Access limited to the systems you allow.

Memory / context control

Control what the assistant knows and retains.

Example workflows

Two typical assistant flows for execution.

Sales Assistant

1

New lead arrives

2

Qualify

3

Write follow-up

4

Update CRM

5

Notify in Slack/Telegram

Support Assistant

1

User message

2

Identify topic

3

Answer from KB

4

Create ticket if needed

5

Escalate to human

Integrations

Connect assistants to your existing stack.

SlackTelegramEmailCRMGitHubn8nGoogle SheetsWebhooks/API

Before vs After

Before

  • Repetitive manual tasks
  • Context switching
  • Missed follow-ups
  • Slow execution

After

  • Assistant runs tasks
  • Consistent outputs
  • Always-on follow-ups
  • Faster operations

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