We build proactive and durable agents, and the software and marketing factories that run on them
Agents that watch your systems and act on their own: follow up a lead, flag a late invoice, open a ticket
Read the guideLong-running agents that keep their state, retry after failures and resume where they stopped, for work that spans hours or days
Read the guideAn agent pipeline that turns a spec into reviewed, tested pull requests in your repo
Read the guideAn agent pipeline that turns one brief into on-brand posts, articles and ads in English, German and Turkish
Read the guideInstead of handling the same tasks manually every day, the process is set up once and runs continuously.
Start automatingManage your inbox automatically, categorize and respond
Form submissions automatically added to your CRM
Read incoming invoices, sync to accounting
Smart automations with ChatGPT/Claude
We are a lean team of senior engineers focused on AI: model fine-tuning, workflow automation, and GEO. We take on a limited number of engagements and deliver each at production quality.
About usA single point of contact and fast response times, without unnecessary organizational layers.
We define scope, timeline, and cost clearly at the start of every engagement.
We continue to provide maintenance, monitoring, and improvement support after delivery.
Artificial intelligence · 7 min read
Proactive AI agents act before you ask. Learn how they differ from chatbots and automations, what Muse, Dots and Claude Duet do, and how to start safely.
Read moreShort answers about proactive and durable AI agents, our software and marketing factories, agent platforms and the rest of our work.
Halmob is an AI engineering studio serving clients in Europe, the United States and the MENA region. We help organizations put AI into production through three disciplines: model fine-tuning for domain-specific models; workflow automation built on n8n, large language models (ChatGPT, Claude, Gemini, Perplexity) and multi-agent orchestration patterns; and Generative Engine Optimization (GEO) that makes brands visible inside AI-generated answers. We also deliver tailored OpenClaw rollouts for law firms, accounting teams, insurance, real estate, financial advisors and recruiting operations.
AI automation is the practice of combining traditional workflow automation (triggers, actions, integrations, queues) with modern AI capabilities such as large language models, retrieval-augmented generation (RAG), vector search, vision models and autonomous agents. Instead of writing brittle if/else rules, you build pipelines that understand context, extract structured data from unstructured input, make probabilistic decisions, and call out to humans when confidence is low. Halmob designs these pipelines end to end, from event ingestion to observability.
n8n is our default orchestration layer because it is open source, self-hostable, extensible with custom nodes, and integrates natively with OpenAI, Anthropic, Google Vertex AI, Perplexity, Pinecone, Supabase, Postgres, Google Workspace, Microsoft 365, Slack, HubSpot, Salesforce, Stripe, Shopify, WhatsApp Business and hundreds of other systems. We use n8n to schedule jobs, fan out to parallel sub-workflows, call LLMs, persist memory, handle retries and alert on failure — all with full version control, unit tests and staging environments.
Modern AI problems rarely fit in a single prompt. We architect multi-agent systems where a planner agent decomposes a goal, specialist agents (retriever, coder, analyst, reviewer) execute sub-tasks, and a supervisor agent evaluates results. We rely on the Model Context Protocol (MCP) to expose tools and data sources in a standardized way across Claude, ChatGPT, Cursor and internal agents. This lets us swap models, add evaluation layers and enforce guardrails without rewriting the pipeline.
OpenClaw is a multi-agent operations platform designed for high-trust professional services. Halmob's OpenClaw consultancy maps your existing workflow, configures industry-specific agents (matter intake, document review, claims triage, candidate screening, advisor onboarding), defines permissions and escalation paths, and rolls out the platform in a pilot-first manner. We measure adoption, hours saved and error reduction so the rollout has a verifiable ROI.
Beyond automation we work in two more disciplines. The first is model fine-tuning: we train foundation models on your own data to produce specialist models that know your domain's language, rules and tone — an expert in your industry instead of a generic assistant. The second is Generative Engine Optimization (GEO): users increasingly get their answers from ChatGPT, Claude, Gemini and Google's AI overviews. We build the content structure, technical foundation and authority signals that get your brand found, represented accurately and cited inside those answers.
Every workflow we ship includes structured logging, metrics, alerting and a clear runbook. For AI components we add prompt versioning, evaluation datasets, cost tracking and rate-limit handling. We self-host n8n and vector databases when data residency matters, and we are comfortable working within GDPR, KVKK and HIPAA-aware constraints. This is what separates a demo from an automation you can actually depend on in production.
If your team is evaluating model fine-tuning, AI automation, n8n orchestration, multi-agent systems, GEO or OpenClaw rollouts, we are happy to have a short, no-obligation discovery conversation. We will give you a clear assessment of whether the proposed solution fits your needs, what it will cost, and how long it will take.