High Performing Company - AI-powered web development
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AI Agents: what we build in agentic AI

Your own software that performs tasks autonomously inside your stack. No no-code glue that breaks in week four — production-grade code, MCP integrations, your own logging and a GitHub repo you own.

On this page you'll find what an AI agent technically is, which types we have in production, how they're built up, and which deliverables you get at handover.

For the service engagement (intake, phases, operations and investment) see agentic AI on what we do.

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Anatomy of an AI Agent

Every agent we build, simple or complex, has four building blocks.

A language model as brain. Usually Claude (Anthropic) for agents that need to reason complexly or execute code. For lighter tasks GPT or an Open Source model can fit. We choose per project on quality, cost and data sensitivity.

Tools via MCP. Concrete connections to your systems via Model Context Protocol, the open standard that broke through in 2025. MCP ensures the agent isn't locked into one platform and that you can switch models later without rebuilding the integrations.

Memory. Both within one task (the agent remembers what it earlier decided) and across sessions (the agent learns from earlier runs). For production agents we build explicit state stores so memory is predictable.

Checkpoints and logging. Every agent action is logged and human checkpoints are built in at the places where you want approval. No autonomous black box, but a full audit trail.

Which AI Agents we build

Eight agent types we've put into production more than once. Each is configurable for your specific process and stack.

Inbox analyst. Scans Gmail or Outlook, classifies messages by urgency and intent, writes draft replies in your tone. Integrations: Gmail API or Microsoft Graph, plus optionally your CRM for customer context.

Lead enricher. Picks up form submissions or CRM leads, scans LinkedIn and company domain, delivers a briefing in your CRM. Integrations: HubSpot, Salesforce, Pipedrive, or via Zapier/n8n.

E-commerce product launcher. Generates product description, SEO meta, alt tags, categories and social posts for new products. Integrations: Shopify Admin API, WooCommerce REST API, Magento.

Invoice processor. Reads incoming invoices (PDF or email attachment), extracts data, matches with purchase orders and books in your accounting package. Integrations: Exact, Twinfield, Moneybird, Snelstart.

Competitor monitor. Weekly crawls specified competitor URLs, compares with snapshot, signals changes in proposition or pricing. Delivers report in Slack or email.

Reporting builder. Pulls data from Google Analytics, Meta Ads, Google Ads and your CRM, generates a weekly report in Google Docs or as PDF. Integrations via official APIs or BigQuery exports.

Customer signal agent. Monitors Trustpilot, Google Reviews, support mailbox and social mentions, classifies sentiment per topic, pings on significant signals.

Custom agents. Bespoke for unique processes, built on the same infrastructure. Examples from current engagements: daily content curation for publishers, quote generation for installation firms, student intake for training providers.

Example stack

A production agent at High Performing Company typically runs on:

  • Model: Claude or GPT class, sometimes a local model for sensitive data
  • Orchestration: n8n or custom code (Node.js or Python), depending on complexity
  • Integrations: MCP for agent-native connections, REST APIs for legacy
  • Persistence: PostgreSQL or Supabase for state and logs
  • Hosting: Vercel, Railway or a dedicated EU container
  • Code: GitHub repository on your side, with CI/CD via GitHub Actions
  • Monitoring: Own dashboard or via Grafana, with alerting on failure patterns

What you get at handover

  • Working production agent on your infrastructure (or ours, by agreement)
  • GitHub repository with the code, in your ownership
  • Documentation of scope, integrations, prompts and checkpoints
  • Logging dashboard where you can review every run
  • Handover training of 1 to 2 hours for your technical contact
  • 30 days of support for fixes and small adjustments

Frequently asked technical questions

Which models do you use?
Claude (Anthropic) as default brain, sometimes complemented with smaller models for specific tasks. We're not tied to one vendor and build agents so they can switch models.
What happens when an API changes?
We build agents with API-level error handling and alerting on unexpected responses. With ongoing operations we pick up breaking changes proactively. Without an operations contract you get a notification and you can fix it yourself or via us.
How do you handle security and GDPR?
EU hosting by default, role-based access for the agent (least privilege), sensitive credentials in a secret manager, logging without personal data where possible. For heavily regulated sectors we work under a processor agreement and do a data flow audit before build starts.
Can agents scale to large volumes?
Yes. We design for expected volume plus margin. For agents with more than 10,000 actions per day we build queue-based architecture (BullMQ or similar) so no actions are lost or duplicated.
Do you also build on top of existing automation tools like Zapier or Make?
Yes, on a case-by-case basis. For simple flows a Zapier or Make integration suffices and we build an AI step that strengthens your existing workflow. For production-critical agents we build our own orchestration because we get more grip on error handling and logging there.
Which CRM and ERP systems do you support?
Native connections for HubSpot, Salesforce, Pipedrive, Microsoft Dynamics. ERP: Exact, AFAS, Twinfield, Microsoft Business Central. Other systems via REST API or MCP server.
Can you fine-tune or restrict an agent afterwards?
Yes, that's a normal part of the run-in period. Also after go-live we can narrow or broaden the scope without rebuilding the agent.

Ready to have an AI Agent built?

Schedule a call or send a WhatsApp message. 30 minutes, we'll determine together which task in your business is best to automate first.

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For the full engagement (intake, phases, operations): see agentic AI on what we do. Other outputs in our build practice: websites, webshops and business apps.