ArchonDigital LLC
AD / Contract servicesFounder-led / Project based / Remote

Custom technology for your next stage of growth

Build what moves your business forward.

Extend your platform around the way you work. Connect your software, automate a repetitive workflow, or put AI to work on a specific business challenge. Archon Digital combines practical engineering with clear testing and a maintainable handoff.

Scope a project See the proof
Engagement
Fixed-scope or fractional
Working style
Founder-led delivery
Authorization
Written statement of work
AD / EngagementsBounded scope / Reviewable evidence

Start with the smallest engagement that creates evidence.

01Scoped engagement

Find the failure modes before users do.

Agent Safety & Evaluation Audit

A bounded review of the use case, tool boundaries, adversarial behavior, and recovery paths—delivered with repeatable tests and prioritized findings.

Best for: Teams with an LLM or agent feature that works in demos but lacks repeatable evidence about risk and reliability.

Starting at: From $3,500, fixed scope

  • Threat and tool-boundary map
  • Normal, ambiguous, adversarial, and unsafe test scenarios
  • Repeatable evaluation harness or test suite
  • Prioritized guardrail, logging, and human-review recommendations
Discuss this scope
02Scoped engagement

Give the agent useful tools—and clear limits.

MCP & Tool Integration Sprint

Design and implement a maintainable MCP or API tool layer with schemas, permissions, error handling, tests, and a clean handoff.

Best for: Teams connecting an agent to an API, database, internal tool, or operational workflow.

Starting at: From $6,000, fixed scope

  • Tool, schema, and permission design
  • MCP server/client or API integration
  • Failure-path and tool-selection tests
  • Setup documentation and handoff walkthrough
Discuss this scope
03Scoped engagement

One real workflow, end to end.

Applied-AI Working Slice

Turn one concrete workflow into a working slice with tool use, retrieval or routing, observability, human review, and defined acceptance scenarios.

Best for: Teams that need a production-shaped implementation before funding a broader AI initiative.

Starting at: From $8,000, fixed scope

  • Workflow map and acceptance scenarios
  • One bounded end-to-end implementation
  • Logging, evaluation, review, and recovery behavior
  • Client-controlled deployment or documented handoff
Discuss this scope
04Scoped engagement

Make the workflow survive contact with the team.

AI Adoption & Enablement Sprint

Map the real work, configure the bounded workflow, train with actual scenarios, and define escalation and outcome measures.

Best for: Operators who selected an AI tool but still need the workflow, controls, training, and reinforcement required for actual use.

Starting at: From $4,500, fixed scope

  • Current-state and future-state workflow map
  • Role-specific operating guidance and training
  • Human-review and escalation rules
  • Go-live support and adoption measures
Discuss this scope
05Scoped engagement

Experienced delivery support without a full-time hire.

Fractional Applied-AI Engineering

A project or monthly SOW with priorities, clear boundaries, a review cadence, and concise delivery reporting.

Best for: Product teams and consultancies that need recurring, client-facing applied-AI support for a defined backlog.

Starting at: From $4,000 per month, cancel monthly

  • Prioritized delivery backlog
  • Hands-on Python and TypeScript implementation
  • Weekly written status, risks, and decisions
  • Documentation and maintainable client handoff
Discuss this scope

Starting prices are published so you can decide before a call. The written statement of work fixes the final price, scope, access, acceptance criteria, third-party costs and schedule; anything outside it is quoted in advance at $150 per hour. All work is remote.

AD / Working proofShadowShield leads

Built systems, not borrowed vocabulary.

Primary proof / Public open source

ShadowShield

Published LLM and agent security framework with prompt-injection detection, goal-hijack auditing, output scanning, automated tests, LangChain middleware, LlamaIndex-compatible guards, and an optional MCP guard server.

Inspect the public work
Public integration ecosystem

Cerebrus Pulse

A documented API with 15 API/MCP tools, a Python SDK, and a published LangChain toolkit—evidence of integration, packaging, and developer handoff work.

Inspect the public work
Live public interactive product

Heliocentric.app

An agent-driven scientific interface demonstrating tool use, user control, and legible interaction with a complex simulation.

Inspect the public work

ShadowShield is open-source product proof—not a claim of a paid enterprise security engagement, penetration-test attestation, or certification. Client work is scoped to evaluation, integration, practical safeguards, and reviewable evidence.

AD / Delivery modelFour moves

Diagnose. Bound. Build. Transfer.

  1. 01Diagnose

    Find the real workflow, failure cost, access constraints, and decision owner.

  2. 02Bound

    Define one useful outcome, explicit exclusions, acceptance scenarios, and a capped scope.

  3. 03Build

    Ship in reviewable increments with tests, logs, human controls, and written decisions.

  4. 04Transfer

    Document the system, known limits, next actions, and the client-owned operating path.

Have a project, an overloaded delivery team, or an agent that needs harder evidence?

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