01
The weekly research only happens when someone remembers to start it.
A scheduled agent does it, and the briefing is waiting before the day starts.
AI agents · AgentPraetorian · working nationwide
Enterprise AI agents, built to work unattended
An agent is not a chatbot you ask a question. It is a standing system that does a job on its own schedule: it reads, decides, drafts and files, remembers what it did yesterday, and stops for a person before anything consequential goes out. HDS builds them as small fleets with persistent memory, review gates and a log of every action, and offers them as AgentPraetorian.
Free first conversation. Replies typically within one business day.
What a build includes
- MEMORY
- Agents that pick up where they left off instead of starting cold every run.
- GATES
- Review and verification run as agents of their own, before anything acts.
- LOG
- Every action recorded, so what happened can always be reconstructed.
- INTERFACE
- Run it from a messaging app. No dashboard to sit at.
Work that should already be happening
Today to with agents
02
How things get done lives in one person’s head.
Persistent memory keeps the context, so the work does not stop when they are out.
03
When an automated step goes wrong, nobody can say what it did.
Every action is logged, so the answer is a lookup rather than a guess.
04
Someone has to sit at a dashboard for anything to move.
The agents do the work and report to your phone. You approve what matters.
Proof from systems HDS runs
Internal AI agent platform (HDS)
HDS delivers its own work on a multi-agent platform, so the failure modes on this page were found in production rather than read about.
- Multi-agent orchestration platform with persistent memory
- Code review + verification gates as first-class agents
- Audit-grade logging of every agent action
Commercial real estate · HDS reference build
The system behind an owner-operated commercial real estate practice, built and run by HDS, and the reference build for the pattern AgentPraetorian offers.
- CRE deal platform as the system of record, on managed Postgres
- A nine-agent fleet running market intelligence and daily briefings on a schedule, not on request
- Telegram as the entire operator interface, so the practice runs from a phone
- An automated market-briefing pipeline feeding a published newsletter
The problem each one solved sits with the rest of the production systems already running.
01 · DEFINITION
An agent versus an automation
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Automation completes a defined task: an enquiry arrives, it gets sorted, a draft appears, a person sends it. That is how HDS builds AI automation into existing workflows, and for most businesses it is the right first step.
An agent is a standing system that keeps doing a job. It runs on a schedule or a trigger, keeps memory across runs, and decides what to do next within limits you set. A fleet splits that work: one agent gathers, another checks, another writes it up, and a review agent sits between the decision and anything that acts.
The difference that matters to a buyer shows up on day thirty. An automation does the same task it did on day one. An agent carries context forward: what it found last week, what you told it to ignore, what is still open. For the mechanism without a sales pitch, read the plain-language answer on what an AI agent is.
How an agent fleet gets built
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01 · SCOPE
Name the standing job: what it watches, what it produces, and who sees it before it acts.
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02 · BUILD
Agents with persistent memory, each given one narrow task, orchestrated as a fleet.
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03 · GATE
Review and verification agents between every decision and every action, with a person where it counts.
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04 · SHIP
Live with audit-grade logging and a messaging interface, so it runs from your phone.
That is how HDS built its own delivery platform and its commercial real estate reference build. When you are ready to talk through where agents fit in your operations, the first conversation is free.
NEXTAn AI chief of staff: an executive assistant built on the same fleet, with its own page under this one.
Common questions
What is the difference between an AI agent and automation?
Automation completes a defined task when something triggers it. An agent is a standing system: it runs on a schedule, keeps memory between runs, and decides its next step within limits you set. Many businesses need automation first and agents later.
What does persistent memory mean in practice?
The agent keeps what earlier runs learned: decisions made, items still open, things you told it to ignore. It picks up where it left off instead of starting cold, and that memory is data you can inspect and correct.
What is audit-grade logging?
Every action an agent takes is recorded with what it saw and what it did, so any outcome can be traced back step by step. A system you cannot reconstruct is not one to trust with real work.
How does a conversation about agents start?
With the standing job you want off your plate: what it is, how often it happens, and what goes wrong when it is late. The first conversation is free, and you leave knowing whether an agent is the right shape for it.
Next Step · Direct Principal Scoping
Which job should never wait for someone to remember it?
Start with a free scoping conversation with Mike Hyams, the person who builds and supports the work.