Agentic AI
Build custom AI agents, connected agents and multi-agent systems. Configure voice, sales, social media and support agents with tools, memory, RAG, MCP, monitoring and human approvals.
Custom AI agents, workflow automations and algorithmic systems. Designed, connected, fixed and built to work.
From a broken integration to an entire custom system.
AI workflows engineered around real business requirements, monetization paths, operational delivery and long-term optimization.
Agentic AI, workflow automation and algorithmic engineering — architected around your business requirements.
Build custom AI agents, connected agents and multi-agent systems. Configure voice, sales, social media and support agents with tools, memory, RAG, MCP, monitoring and human approvals.
Design complete automation flows, configure event triggers and connect your CRM, ads, social channels, email, phone systems, databases, apps and custom APIs.
Engineer client-strategy-driven crypto, sports-odds and prediction-market systems: data feeds, bots, backtesting, execution integrations, monitoring and risk checks.
Client provides the strategy, venues and authorized access. Feasibility and compliance are reviewed before implementation.Hire a freelance architect, developer, engineer or specialist to build, configure, connect, repair or optimize your workflows.
Diagnose broken AI agents, automation flows, n8n scenarios, integrations, webhooks and failed API calls.
Develop a purpose-built voice agent, sales agent, support agent, research agent or social media agent.
Connect AI agents to each other, tools, databases, external APIs and approval workflows with reliable orchestration.
Set up agent frameworks, LLM providers, tools, memory, RAG, MCP, permissions, observability and deployment.
Implement end-to-end Make, Zapier, n8n or custom automations across CRM, email, ads, forms and business apps.
Integrate an existing agent, app, CRM, database, social platform, voice system or third-party service into your workflow.
Improve model routing, token usage, caching, latency, tool calls, reliability and AI agent operating costs.
From architecture and prototype to integrated production system, testing, logging, documentation and handover.
Review current workflows, repair fragile connections, improve performance and modernize legacy automation or agent setups.
Expert product structure for AI SaaS, apps and agentic products — from business requirements and research to technical architecture, an executable development plan and a launch roadmap.
Plan your AI project ↗
Goals, users, monetization flows, scope, acceptance criteria and operational constraints.
Models, agents, integrations, data contracts, evaluation, permissions and human review.
Prioritized milestones, implementation steps, testing, cost controls and release readiness.
Deployment, monitoring, analytics, feedback loops, maintenance and iteration.
Explore autonomous and human-approved workflows combining custom agents, multi-agent orchestration, automation platforms and APIs.
Working with frontier AI models (Anthropic, OpenAI, Google and others) and open-source alternatives — selected for fit, quality, cost and deployment needs.
Research, content preparation, approval, publishing and analytics in one connected workflow.
A broad toolkit across the three engineering domains, plus the business apps and data systems they connect to. Platform choice follows your requirements.
LangGraph · LangChain · Vercel AI SDK · CrewAI · Composio · OpenAI Agents SDK · Semantic Kernel · LlamaIndex · Google ADK · Hermes Agent · OpenClaw · MCP · RAG · Vector databases · OpenAI · Anthropic · Gemini · OpenRouter · Ollama · Together AI · Cloudflare Workers AI · DigitalOcean Gradient AI · ElevenLabs
n8n · Make.com · Zapier · Microsoft Power Automate · Pipedream · Activepieces · Node-RED · Temporal · Airflow · Custom Python & JavaScript · REST & GraphQL APIs · Webhooks · Schedulers · Queues · Cloudflare Workers · DigitalOcean App Platform
Solana · EVM networks · RPC / WebSocket feeds · CCXT · Exchange APIs · Broker integrations · Odds data feeds · Prediction-market APIs · Python backtesting · Data pipelines · Execution monitoring · Risk controls
HubSpot · Salesforce · Pipedrive · Google Workspace · Microsoft 365 · Gmail · Outlook · Slack · Discord · Telegram · Twilio · WhatsApp Business · Meta & Google Ads · LinkedIn · Instagram · YouTube · TikTok · Airtable · Notion · Supabase · PostgreSQL · Stripe · Shopify
Practical use cases for AI agent development, business automation, monetization flows and agentic business operations. Illustrative architectures, not claims of completed client projects.
Monitor → research → verify → collaborate → deliver
Call → understand → look up → respond → escalate
Capture → qualify → enrich → update CRM → follow up
Research → draft → approve → schedule → measure
Agent → MCP/API tool → application → approval → log
Observe → benchmark → route → cache → validate
Trigger → validate → sync apps → notify → report
Market data → strategy → risk checks → execute → monitor
Track matching projects → assess fit → draft tailored proposals → review & submit via permitted channels → follow up
Assists with bids and communications using platform-approved integrations and human review.
Research audience → plan content → build assets → approve release → publish → measure sales
Coordinate creator content, digital products and release campaigns across connected channels.
Monitor trends → validate signals → identify angles → create briefs → approve → measure
Turn social and creator-market data into timely content and campaign workflows.
Requirements → research & specifications → architecture → build → test → deploy
Structured AI-assisted software development with quality gates, production readiness and launch planning.