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An AI agent is a system that combines a language model with your business logic, data sources, and approved actions to execute multi-step tasks rather than answer questions. The engineering problem is not conversational quality, it is that an agent changes state in real systems. These articles cover access models, approval gates, and audit trails.
9 articles · AI Agent Development

A new rental lead does not wait for business hours. They contact you at 9 p.m. They compare five properties. They expect an immediate answer, a clear next step, and a tour on their calendar.

Single-agent systems fall over when the business logic spans roles, approval gates, and conflicting objectives. Here is how we architect federated multi-agent systems that scale to real enterprise complexity — without becoming a debugging nightmare.

OSHA 300A reporting, near-miss capture, and weekly safety briefings should not be a clipboard-and-Excel exercise in 2026. Here is how we build AI-driven site safety compliance that produces audit-ready evidence by default.

A 30-day RFI lag is killing your schedule. Here is the practical playbook for automating RFI and submittal workflows — from PDF intake to Procore round-trip — with custom AI agents and n8n.

A deep dive into the integration architecture behind site-to-office automation: data contracts, the Procore/ACC/e-Builder integration layer, the AI-as-translation pattern, and how to build it for 10M+ events a month.

A new patient referral comes in by fax at 8pm. The intake call goes out at 11am the next morning. By then, the patient has already booked with your competitor. Here is the end-to-end automation pattern that fixes that — HIPAA-compliant, EHR-integrated, and live in 30 days.

A 9pm lead waiting on a 9am callback is already a lost lease. Real Estate 2.0 is the agentic AI playbook we use to automate the full lead-to-lease lifecycle — without the generic chatbot tax.

Field notes on submittals. Receipts via WhatsApp. Four hours a day re-keying spreadsheets. Here is how we kill the construction paper trail with custom AI agents that turn messy site data into real-time billing in 30 days.

Every "GPT wrapper" promising 3-click automation is also a 3-click data leak. Here is how the NIST AI RMF — Govern, Map, Measure, Manage — turns brittle templates into hardened, audit-ready agents for federal, DIB, healthcare, and financial teams.
These articles describe how we build. If you have a live requirement, the AI Agent Development page covers what an engagement looks like.
AI Agent Development