05

CONSULTING

Founder & Principal Systems Architect, AEGNTIC.

Engagements that install production agentic systems — skill chaining, compound engineering, MCP surfaces, and multi-agent orchestration that survive real load.

WHO THIS IS FOR

FILTER FIRST

Teams shipping agents into production — not demos. You need durable memory, verification, and coordination that holds under failure.

Operators drowning in tool sprawl — many models, few systems. Skill chaining and compound workflows beat more subscriptions.

Builders who want architecture, not slides — implementation-adjacent advisory. Code, MCP, control planes, measurement.

Not a fit: awareness workshops, generic “AI strategy” decks, or status-driven vendor bake-offs.

ENGAGEMENT TYPES

HIGH-SIGNAL ONLY

Production systems audit

Map current agent / MCP / automation surface. Identify single points of failure, low-leverage lock-in, and the 20% of architecture changes that unlock the rest. Written findings + ranked fix order.

Architecture MCP Failure modes

Skill chaining & compound engineering

Design and install verification chains so knowledge compounds instead of accumulates. Wire skills, tools, and agents into repeatable execution paths with explicit parity inversion away from isolated one-offs.

Skill chaining Verification Leverage

Multi-agent orchestration

Control-plane design for swarms and coordinated agents — lifecycle, failover, credentials, task queues. Grounded in production patterns from clawREFORM and related systems.

Swarm Control plane Resilience

Embedded systems architecture

Time-boxed embed with your team. Architecture decisions, implementation review, MCP / agent surface design. Outcome: working systems and a team that can extend them without permanent dependency.

Embed Implementation Transfer

OPERATING PRINCIPLES

HOW WORK IS DONE

Systems over decks. Deliverables are architectures, repos, and measurable execution — not workshop theater.

Survivability first. No single points of failure introduced for speed. Margin of safety on irreversible choices.

Compounding preferred. Prefer changes that create future optionality. Reject linear effort traps.

Primitives in play when relevant: Ontological Shear, Antifragile Forgetting, Skill-Chain Parity Inversion.

START

HIGH-SIGNAL INBOUND

Send context: current system, constraint, and what “done” looks like in 90 days. If the game is worth playing, we structure the engagement from there.