Portfolio of real AI agents

AI agents and automations built for real business operations

We create custom AI agents to automate customer support, sales, marketing, content, CRM workflows, prospecting and internal processes.

JK AI Agents builds practical automation systems for companies that want to reduce manual work, respond faster, organize data and operate with more intelligence using AI.

Agent Ops

Live operation map

Online-ready
WA

WhatsApp AI Agent

WhatsApp Cloud API · Customer Support · Sales

01
IG

Instagram AI Agent

Instagram · Social Media · Data

02
SEO

Automated SEO Blog Agent

SEO · Content · WordPress

03
CRM

CRM Pipeline Automation

CRM · Google Calendar · Google Drive

04
OUT

Active Prospecting Automation

Prospecting · Outbound · Leads

05

What we build

AI systems applied to real workflows, designed for operations, scale and commercial outcomes.

01

Customer Support Agents

AI agents that answer customers, handle repetitive questions, qualify leads and support sales teams.

02

Marketing Automations

Workflows for content, social media, blog publishing, campaigns, metrics analysis and recurring posting routines.

03

CRM and API Integrations

We connect calendars, documents, spreadsheets, CRMs, forms, databases and external tools.

04

Prospecting and Sales

Automations for lead discovery, qualification, first outreach and sales pipeline organization.

05

AI Content Systems

Agents for editorial planning, article generation, SEO, review and recurring publishing.

06

Custom Business Operations

Tailored workflows for repetitive business tasks, built around the company’s real rules, context and daily routine.

Featured cases

Real-world projects built to automate channels, content, CRM, sales and marketing routines.

Case 01WA

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WhatsApp AI Agent

WhatsApp Cloud API · Customer Support · Sales

WhatsApp AI Agent for Customer Support and Lead Qualification

Problem

Companies lose leads when they respond too slowly, repeat the same questions manually or cannot qualify contacts consistently.

Solution

We built an agent integrated with WhatsApp Cloud API to receive messages, understand the lead context, answer questions, collect important information and prepare the conversation for the sales team.

Incoming message
Meta webhook
Agent understands the context
AI-powered reply
Lead data is stored
Opportunity moves to the sales flow

Benefits

Faster customer supportAutomated lead qualificationLess repetitive workBetter sales organizationImproved lead follow-up

Tech

WhatsApp Cloud API, Meta Graph API, Node.js, OpenAI, automations, webhooks

Case 02IG

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Instagram AI Agent

Instagram · Social Media · Data

Instagram AI Agent for Content, Metrics and Comment Monitoring

Problem

Keeping social media active requires consistency, timing analysis, content creation, publishing and comment monitoring.

Solution

We created an agent to support Instagram operations by planning content, creating posts, tracking metrics, monitoring comments and progressively learning from performance data.

Brand context
Content strategy
Copy and visual creation
Publishing
Metrics and comment collection
Progressive data learning

Benefits

More consistent publishingMore organized social media routineTiming and performance analysisComment monitoringLess manual work for the team

Tech

Python, Meta Graph API, Instagram API, OpenAI, Anthropic, PostgreSQL, Redis, automations, data analysis

Case 03SEO

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Automated SEO Blog Agent

SEO · Content · WordPress

Automated SEO Blog Agent for Daily Publishing

Problem

Companies want organic presence, but keeping a blog active requires planning, writing, editing, SEO, images, publishing and performance analysis.

Solution

We built an editorial agent that plans topics, writes articles, organizes categories, publishes to WordPress and uses performance data to improve future content.

Editorial planning
Topic selection
AI-written article
SEO and image preparation
WordPress publishing
Analytics
Learnings for future content

Benefits

Recurring content productionConsistent digital presenceSEO supportLess manual editorial workMore scalable content operations

Tech

Python, Claude, WordPress REST API, Google Search Console, GA4, PageSpeed, automations, SEO

Case 04CRM

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CRM Pipeline Automation

CRM · Google Calendar · Google Drive

CRM Pipeline Automation Agent for Meetings, Proposals and Contracts

Problem

Many CRMs become outdated because meetings, proposals and contracts depend on manual updates from the team.

Solution

We built agents that monitor calendar events and documents, match information with active leads and update the pipeline automatically or create review tasks when confidence is not high enough.

Event or document appears
Agent collects data
Parser extracts information
Matching identifies the lead
CRM updates the stage or requests review

Benefits

More reliable CRM dataLess operational workBetter pipeline visibilityReduced human errorClearer tracking of meetings, proposals and contracts

Tech

NestJS, PostgreSQL, Prisma, Google Calendar API, Google Drive API, PDF parser, Redis, BullMQ

Case 05OUT

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Active Prospecting Automation

Prospecting · Outbound · Leads

Active Prospecting Automation Agent for Sales Outreach

Problem

Manual prospecting takes time, requires repetitive research and often produces poorly qualified lead lists.

Solution

We built an automation system to identify companies, analyze commercial signals, organize contact lists and start initial outreach through authorized channels, connecting replies to the AI support flow.

Segment and city
Company discovery
Signal analysis
Organized lead list
Initial outreach
Replies move to AI-assisted support

Benefits

Recurring lead generationLess manual researchCommercial signal prioritizationMore organized sales cadenceScalable sales operation

Tech

Python, Playwright, Node.js, Meta Graph API, automations, CSV/JSON, webhooks

How the agents work

Each agent combines business context, rules, integrations and automated actions with practical safety boundaries.

01

Context

02

Input

03

Interpretation

04

Action

05

Record

06

Learning

Tech stack

A modern stack for lightweight, integrated agents that can evolve with the operation.

AI

OpenAIChatGPTClaudeAnthropicPrompt engineeringAI workflows

Automation

WebhooksAPIsScheduled jobsCRM workflowsData pipelines

Channels

WhatsApp Cloud APIInstagram Graph APIWordPressWebsitesFormsCRMs

Development

PythonNode.jsTypeScriptNext.jsNestJSPostgreSQLRedisPrismaTailwind CSS

Infrastructure

NginxPM2DockerLinux VPSCron jobs

How we work

From diagnosis to continuous evolution, the goal is to turn real processes into AI-assisted operations.

Step 01

Diagnosis

We understand the current process, bottlenecks, tools and business goals.

Step 02

Workflow design

We map inputs, outputs, rules, integrations and the points where AI can help.

Step 03

Agent creation

We configure the agent with context, rules, prompts, actions and safety limits.

Step 04

Integrations

We connect channels, APIs, CRM, spreadsheets, documents, databases and required systems.

Step 05

Testing and optimization

We validate replies, workflows, exceptions, data and agent behavior.

Step 06

Delivery and evolution

We deliver the working operation and improve it as more data becomes available.

Next step

Want to automate part of your business with AI?

We can analyze your process and build a custom agent for customer support, sales, marketing, content, CRM or internal operations.

Discuss a project