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The full intelligence stack for growing a network and reaching goals. HQ tools and AI Intel Agents, built around you.

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HQ

Library

The game rules, primal laws, traps to avoid and the science of social engineering. You know exactly how the game works before you even act.

Mark LIBRARY OVERVIEW SOCIAL ENGINEERING SCIENCE

Game Rules

The network is a game of leverage, reciprocity, and permission. Play it with standards — not hope.

  • Your network is a weapon before it is a status symbol.
  • Most opportunities die in the drafts because you invented a hierarchy that doesn’t exist.
  • The fastest way to become interesting is to become useful.
  • People only reply when two conditions are met: clear interest for them + a precise, non-generic compliment. Engineer both.
  • A well-placed question often creates more access than a compliment.
  • Never ask for time. Offer a specific reason why the conversation benefits them.
  • Most people are starving for someone who sees them accurately, or as they wish to be seen. Be the rare person who can do both. Selectively.
  • People remember how you made them feel far more than what you said.
  • Calculated actions create transactions. Uncalculated generosity creates depth.

Primal Laws

Your graph is not a vanity map. It is a weaponized map of who can move what, through whom.

  • Legitimacy before capital.
  • Interest of the other before your urgency.
  • Broker protection is compound interest.
  • Warm paths beat cold volume every time.
  • One clear ask per move — never stack favors.
  • Archive every edge you claim or lose credibility.

Traps to Avoid

Generic compliments, stacked favors, fake climate coating, and silence-shame follow-ups.

  • Do not burn weak edges for capital.
  • Do not invent an intro you cannot archive.
  • Do not confuse fame with fit.
  • Do not spray decks to people with no path to yes.
  • Do not treat brokers as infinite resources.
  • Do not follow up with shame when silence is the answer.

Science of Social Engineering

Stimulate a real interest. Reduce the cost of ask. Sequence legitimacy before conversion.

  • Judgment requests before tickets.
  • Timeboxes before coffee.
  • Proof before pitch.
  • Micro-asks before macro-favors.
  • Compliments must be specific, verifiable, and rare.
  • Every outreach move should lower the social cost of the next one.

Glossary

  • Leverage — what one side can move for the other.
  • Warm path — access through a trusted broker.
  • Cost of ask — social price of the favor you request.
  • PENDING — candidates waiting for your arbitration.
  • Broker — the person who can open a door you cannot.
  • Legitimacy — proof that you belong in the room before you ask to enter.

Operating Principles

Agents never improvise against your standards. Memory, Graph, and Library stay aligned.

  • Archive every edge you claim.
  • Accept only people you will work.
  • Decline fantasy fundraising graphs.
  • Run every move against the Library before you send.
  • Keep Memory precise so agents stop guessing intent.

The interface is similar in the app. The content is simplified in this example.

Sets the operating system for every agent: how to open a path, when to ask, and what never to do. Agents stop improvising against your standards.

Stores primal laws, traps, glossary terms, and the science of social engineering in one place so strategy and outreach stay coherent.

Turns vague networking instinct into repeatable rules you can audit, refine, and hand to every trained agent in the stack.

HQ

Personal Memory

Everything is custom-built around you. Your vision, goals, ambitions and the exact type of people you want. The more precise it becomes, the more powerful every agent gets.

MEMORY

MEMORY

Auto-generated sample from your graph and goals.

Who I am
Operator building AI infra in Europe. Prefer warm paths over cold volume. Protect brokers.

North star
Raise 1.3M through relational legitimacy, not spray-and-pray outreach.

People I want
AI infra investors in Paris, climate×infra operators, precise brokers.

Non-negotiables
No deck theater in first messages. Micro-asks only. Archive leverage on every new edge.

Generated Node Type

The interface is similar in the app. The content is simplified in this example.

Captures who you are, what you want, and the people worth reaching so agents stop guessing your intent.

Turns goals and non-negotiables into durable context that compounds every strategy, find, and message.

The sharper the memory, the tighter the graph and the cleaner every agent recommendation becomes.

HQ

Intelligence Graph

A living, organic visualization of your network. You see further, understand real connections, and move with clarity instead of navigating blind.

Mark Intelligence Graph 24 relations

The interface is similar in the app. The content is simplified in this example.

Maps who knows whom, edge strength, and real leverage so you stop navigating by rumor.

Shows structural holes and warm paths before you spend a broker or burn a cold ask.

Gives every agent a shared picture of the network instead of a spreadsheet fantasy.

AI Intel Agents

A Network Agent

An internal agent trained on the science of social engineering. Based on your memory and graph, it manages and audits your network, builds strategies and proposes the best custom science-based outreach messages.

Mark Network Agent

The interface is similar in the app. The content is simplified in this example.

Audits the graph you already have: holes, weak brokers, and people worth activating next.

Builds strategies from your memory and live edges instead of generic networking advice.

Drafts outreach that protects the broker and stimulates the other side’s real interest.

AI Intel Agents

Deployable Trained Intel Agents

Specialized agents you can deploy wherever you want. They find the right people, create custom strategies, open paths and feed everything back into your HQ under your control.

Mark Deployable Trained Intel Agents

The interface is similar in the app. The content is simplified in this example.

Find and Search surface new people outside your graph with enough context to decide, not invent edges.

Orbit maps who surrounds a strong node so you warm the circle before you press the center.

Strategic Research turns a goal into targets, bridges, and a timed plan you can accept or decline.

AI Intel Agents

An Arbitration Agent

Full arbitration power. Everything that comes in goes through you first. You decide what enters your network. It becomes a real lever instead of another mess.

PENDING 3

preview

The interface is similar in the app. The content is simplified in this example.

Nothing writes live until you accept. Candidates and edges wait in PENDING first.

You keep control of who enters the graph and which relationships get strengthened.

Turns discovery into deliberate growth instead of silent pollution of your network.

AI Intel Agents

Hawk: Autonomous Surveillance Agent

An autonomous agent that works in the background, monitoring movements and opportunities in your relational environment.

Coming soon

Click a node to lock HAWK agent · watches 1-hop only

The interface is similar in the app. The content is simplified in this example.

Watches a locked node’s 1-hop neighborhood for movement without constant manual scanning.

Surfaces relational shifts early so you can act while the path is still warm.

Stays background by design: surveillance first, intervention only when you choose.

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