Clearstone GEO dataset

Summary: A line-delimited, first-party description of Clearstone's business identity, services, audiences, offers, delivery model, work record, policies, and public routes.


Clearstone Digital Services LLC

1621 Central Ave, Cheyenne, WY 82001, USA


AI & Software Workflow Partner

Summary: Clearstone designs and builds private AI systems, controlled AI agents, and workflow software, and is developing an Agentic Adversary Simulation research pilot starting with digital economies.

Turn expensive recurring work into dependable systems that teams can operate.

Senior-led, specialist-supported architecture and implementation with written boundaries, acceptance evidence, and handover.

Manual document intake or review consumes recurring staff time.

Work moves between email, spreadsheets, and disconnected systems.

Existing automations are fragile, difficult to audit, or hard to maintain.

AI outputs are unreliable, poorly sourced, or missing approval controls.

Executives or specialists repeat work that should be routed through a dependable system.

A product controls value, access, protected data, authority, compute, entitlements, or automated actions through rules a motivated autonomous adversary could try to game.


Operations leaders

Reduce manual document handling, spreadsheet approvals, disconnected systems, and recurring operational exceptions.


Product leaders

Turn a defined AI or software capability into a reliable production workflow with tests, controls, and ownership.


AI leaders

Improve retrieval, agent reliability, evaluations, permissions, approvals, and deployment boundaries.


Digital-product leaders

Understand how a goal-directed autonomous adversary might pursue value, access, protected data, authority, compute, entitlements, or automated actions across the product's rules and connected systems.


Non-marketing consultancies

Add senior AI and software delivery capacity while retaining the client relationship and commercial ownership.


Private AI systems

Use company knowledge without a public chat tool.

Summary: Search, retrieve, compare, and draft from approved internal sources with access rules and hosting chosen for the workload.

Your team needs to use internal knowledge with a documented data boundary.


Reliable AI agents

Agents that complete a defined job across your systems.

Summary: Retrieve records, prepare drafts, update approved tools, and route exceptions using named permissions and human approval.

A recurring task crosses systems and needs tools, approvals, and a run history.


Workflow software

Replace handoffs and spreadsheet work with one operating workflow.

Summary: Applications and integrations for document intake, routing, approvals, exceptions, and recurring operational work.

Documents, approvals, and exceptions are still moving through email or spreadsheets.


Agent harnesses & long-running agents

Agents that can work beyond a single chat turn.

Summary: Multi-step agents with resumable state, tool limits, checkpoints, budgets, evaluations, and human escalation for work that may run for minutes, hours, or on a schedule.

Research and report workflows
Scheduled monitoring and follow-up
Multi-agent or evaluator loops


MCP servers & integrations

Give AI controlled access to the systems where work happens.

Summary: Typed tools and integration services for company data, APIs, files, and business software—with authentication, permissions, tests, and traceable actions.

Custom MCP servers
API and data connectors
Tool registries and access control


Chat & voice agents

Conversations that complete a defined job.

Summary: Customer or internal assistants that answer from approved knowledge, collect structured information, trigger permitted actions, and hand off cleanly to a person.

Intake and qualification
Scheduling and guided support
Internal workflow assistants


Private knowledge systems

Answers grounded in the sources your team trusts.

Summary: Access-controlled retrieval, RAG, source-backed drafting, and internal search with the hosting and data boundary chosen for the workload.

Knowledge assistants
Source-backed research
Document comparison and drafting


Document & workflow software

Focused software for recurring operational work.

Summary: Applications and services for intake, extraction, routing, review, approvals, exceptions, and handover across document-heavy workflows.

Document AI pipelines
Approval and exception flows
Operations dashboards and APIs


Agentic Adversary Simulation

Agentic adversary simulation research pilot

See how an adversary would game your product.

Summary: Bring a product you can authorize and one outcome an attacker might pursue. The agent looks for a route. We reproduce what it finds and show your team what to fix first.

Design-partner conversations and the founding-pilot waitlist are open. Clearstone is not accepting payment or start dates until the harness, dry run, legal, insurance, specialist review, containment, and dossier gates are complete. No Clearstone client results are claimed yet.

Product, security, and engineering teams operating digital economies

Products where value moves through gift cards, credits, loyalty, subscriptions, virtual goods, refunds, marketplace balances, or entitlements

Selected products where an adversary could pursue access, protected data, authority, compute, or an automated action across product rules and connected systems

Synthetic Economy Adversary

Summary: A campaign built around one attacker question: can a user make the product issue, preserve, move, or redeem something they should not have?

Can an unverified receipt create a gift card or add funds to a balance?

Can someone get a refund and keep the entitlement, reward, or credit?

Can small credits that look legitimate add up to more than the product meant to issue?

Can a user combine roles, retries, regions, or account states to get around controls that work on their own?

We set the objective, budget, and hard limits. Inside them, the agent chooses its own route.

Summary: The standard founding format is three measured-autonomy rounds over ten business days. Clearstone reviews the record after each round, logs every intervention, and decides whether to redirect the next one.

Runs in a sandbox, staging environment, or an approved live product limited to observation and safe proof.

Summary: Available only by exception under a separate proposal. The agent runs without between-round review while Clearstone monitors the limits and can stop it.

It runs only in an independently isolated sandbox or replica, never on a live product.

Ten business days after every readiness gate and kickoff condition has passed.

Begin with black-box, user-like exploration through synthetic identities; disclose only approved grey-box context after the first surface map.

One primary objective, while preserving consequential incidental findings that remain inside scope.

Classify each round as operator-directed, checkpointed-autonomous, or continuous, and log every material human intervention. Never describe manually stitched work as fully autonomous.

Candidate findings are human-verified in a separate reproduction step. A second reviewer is required before Clearstone calls validation independent.

Before kickoff, the client chooses approved managed-model providers or an isolated open-weight deployment; the exact providers, models, retention and training terms, tools, and data flows are recorded.

A qualified specialist must be available before paid execution. High-impact access, tenant, execution, data, financial, unfamiliar, or scope-ambiguous findings remain UNRESOLVED until appropriately reviewed.

Set the mission

Summary: Clearstone fixes the objective, runtime, compute allowance, environment, and hard boundary.

Learn the product

Summary: The agent discovers the reachable product surface and builds a working view of roles, states, routes, and trust boundaries.

Pursue the route

Summary: It forms hypotheses, chooses tools, attempts bounded actions, observes results, and adapts without tactical prompting.

Return the evidence

Summary: The run stops on its budget, objective, anomaly, or safety condition and returns its decision trail and retained evidence.

Decide the next round

Summary: Clearstone reviews the changed situation and either redirects, approves more budget, verifies remediation, or stops.

Clearstone is the strategic adversary operator. We set the mission, monitor containment, and decide between rounds whether to redirect or stop. The agent chooses its own ordinary steps inside the approved boundary.

An authorized starting target and proof of authority

Test access when the approved environment requires it

Prohibited effects, fragile workflows, and emergency contacts

A sandbox, staging environment, or separately approved live surface

Optional crown jewels or known abuse concerns; a complete target map is not required

Summary: The signed proposal fixes the campaign budget, runtime, approved tools, and stop conditions before kickoff.

This is a paid research campaign. The anonymized research summary is a participation condition, not a substitute for the campaign fee.

A deeper round or remediation check requires a separately approved extension with its own runtime and compute budget.

The $3,250–$4,000 example applies to the smallest qualifying design-partner campaign. Larger or custom scopes receive a higher fixed proposal.

The smallest qualifying design-partner campaign starts at $3,250: a $2,500 base plus a prepaid, itemized $750–$1,500 tooling allowance. Larger or custom scopes receive a higher fixed proposal.

Summary: Campaign design, authorization and containment planning, campaign operation, separate human reproduction, and the final dossier.

Summary: The prepaid operating budget for model use, agent runtime, and approved campaign tools.

The tooling allowance is prepaid, itemized, and reconciled afterward. We do not accept payment or set a start date until every readiness gate has passed.

The signed campaign names the authorized starting target, reachable boundary, approved environments, prohibited effects, emergency contacts, budget, and stop conditions.

On a live product, the campaign is observe-and-prove only. It cannot change customer-visible state or create third-party, economic, destructive, persistent, or irreversible effects.

Continuous autonomy runs only in an independently isolated sandbox or staging replica. It uses synthetic identities, no reusable production credentials, allowlisted egress, blocked cloud metadata, complete event capture, and a network-level kill path. It never runs on a live product.

Target, actions, network access, runtime, and compute are limited outside the model

Only approved network destinations are reachable; cloud metadata is blocked, and credentials cannot be reused in production

Clearstone holds kill authority, with a named client contact for emergencies

The run stops immediately if scope becomes unclear, containment is lost, the target becomes unstable, or a real-world effect appears

Any test that could change customer, authorization, data, resources, automated actions, or economic state runs in an isolated replica with synthetic accounts, canary data, and non-redeemable test value.

Written authority

Summary: The owner, target, environment, prohibited effects, budget, and stop conditions are fixed before a run.

Controls outside the model

Summary: Target, action, credentials, metadata access, egress, runtime, and compute limits do not depend on the agent following instructions.

A named operator

Summary: Clearstone monitors containment, redirects between rounds, and can stop the run without tactically steering it.

Separate human reproduction

Summary: An agent claim becomes a finding only after Clearstone reproduces its evidence and impact in a separate step. Independent validation is claimed only when a second reviewer actually performs it.

What the agent pursued

Summary: The initial mission, objectives the agent derived, and any crown jewels your team named.

What the agent reached

Summary: The roles, routes, states, tenant boundaries, integrations, and product relationships it actually found.

The route it chose

Summary: Its hypotheses, tools, attempted actions, observations, adaptations, and retained evidence.

What worked and what failed

Summary: Verified progress, failed paths, false hypotheses, and the conditions that changed the result.

Runtime and controls

Summary: Runtime, model and tool compute, analyst-validation effort, escape and persistence attempts, blocked actions, state recovery, detection and kill timing, stop events, and containment status.

Findings that held up

Summary: Human-reproduced issues with impact, evidence, limitations, and remediation priorities.

What to do next

Summary: A recommendation to stop, redirect, deepen the work, or verify remediation under a new budget.

Every founding pilot includes a contractually bounded anonymized research summary. We agree the publication boundary before work begins.

The client reviews the draft for confidentiality and factual accuracy before publication.

Target identity and identifying product details

Raw exploit instructions, credentials, source code, and confidential architecture

Customer, payment, personal, or other production data

Any material outside the publication boundary agreed before kickoff

Clearstone has not delivered this campaign to a client. The harness and paired benchmark remain in build.

The sources below are external precedent. They are not a Clearstone result, client delivery, partnership, or endorsement.

Anthropic GTG-1002 investigation

Summary: Anthropic reported that an agentic system performed much of the tactical work in multi-stage intrusions while people kept strategic control.

HackerOne AI hackbots update

Summary: HackerOne reported that autonomous systems produced findings accepted in authorized programs.

Hugging Face agent intrusion timeline

Summary: Hugging Face described a 4.5-day campaign with roughly 17,600 actions. The agent escaped an evaluation environment, rebuilt tools, crossed systems, and pursued protected benchmark answers.

OpenAI Hugging Face incident disclosure

Summary: OpenAI confirmed the main sequence reported by Hugging Face. Its investigation was preliminary, and the models were operating with reduced cyber safeguards.

There is a specific outcome an attacker would care about, and more than one product rule or workflow can affect it.

You can authorize the test, provide a safe environment, and keep a technical owner available during the run.

You want to see the path an adversary takes and get verified evidence your team can act on. You do not need a compliance attestation.

The target owner cannot authorize every asset the agent might reach.

The test would require social engineering, destructive action, uncontrolled load, customer-visible effects, or real-value extraction.

You need broad web, API, network, cloud, compliance, or checklist coverage instead of one product-level goal.

You need incident response, continuous monitoring, certification, or a guaranteed result.

Denial-of-service, stress, or uncontrolled load

Social engineering, persistence, destructive changes, or real-data exfiltration

Third-party infrastructure without the asset owner's written authorization

Customer-visible, real-money, or irreversible live effects

Incident response, continuous monitoring, certification, or guaranteed outcomes

Claims of exhaustive coverage, complete security, or guaranteed zero-day discovery

Keep the first message high level. Do not send hosts, credentials, vulnerability evidence, or confidential architecture.

Choose the closest product pattern. The campaign follows what a motivated user could gain, change, unlock, or control—not a technical checklist.

Games, virtual currencies, or digital goods

Gift cards, credits, loyalty, or rewards

Commerce, marketplaces, refunds, or balances

Subscriptions, usage, plans, or entitlements

Accounts, roles, permissions, or tenant boundaries

Data, content, model assets, or proprietary results

Approvals, workflows, integrations, or delegated actions


Customer-hosted

Summary: Open-weight models such as Llama or Mistral run on your own servers or VPC—model, search, and application included.

Open-weight models
Your hardware
Zero egress


Customer-owned cloud

Summary: Azure OpenAI, AWS Bedrock, or Google Vertex through private endpoints with zero-retention terms—inside your network.

Private endpoints
Zero retention
Your cloud


Controlled hybrid

Summary: Documents and search stay with you; only the minimum context for each request reaches GPT or Claude.


Technical Retainer

Billed monthly for the agreed capacity and term.

Summary: Eight to twelve senior hours each month for difficult AI and software decisions, with every decision and hour written down.

Senior Hours — eight to twelve per month, scheduled and tracked in writing

Decision Records — recommendation, evidence, trade-offs, and what was rejected

Technical Working Sessions — model selection, training and evaluation, hosting, agents, and workflow architecture

Capacity Ledger — what was used, what remains, and what carries to next month

This is a starting price, not a fixed quote. The signed proposal sets the final scope, schedule, acceptance terms, and fee before work begins.


Map the workflow

Summary: Define the trigger, people, systems, data, exceptions, current cost, and desired result for one recurring workflow.


Set evidence and boundaries

Summary: Choose the deployment boundary, permissions, approval points, evaluation method, and written acceptance tests.


Build and test

Summary: Implement the defined software, integrations, retrieval, or agents and test it against the agreed evidence.


Handover and measure

Summary: Document operation, ownership, failure handling, maintenance, and the measures used after release.


Real-estate operations

Property matching, document intake, and approvals in one system.

Summary: Match client requirements to inventory, process incoming documents automatically, and route every task to the right person for a decision.

Property and inventory search
Client-requirement matching
Document intake and task routing

No lead generation, property marketing, automated lending or tenant decisions, investment advice, or professional valuation judgment.


Legal and matter workflows

Matter search, chronology, and drafting with source links.

Summary: Search, summarize, and draft from matter documents—every output linked to the sources it came from, with review routed to the right lawyer.

Matter-aware retrieval
Chronology and evidence extraction
Draft and review workflows

No legal advice, final legal judgment, autonomous filings, or unsupervised external submissions.


TaskTime

Product engineering → long-term consultancy

Eight years from product-team engineer to long-term technical consultant.

Summary: The work began inside TaskTime’s product team in January 2018, grew into senior engineering responsibility, and continued from July 2021 through software delivery, integrations, automation, consultancy, and AI-related assignments.

Software Development Engineer → Consultant & Development Specialist

Full-time product development, progressing into senior responsibility

Complex software delivery and technical consulting

System integrations and workflow automation

AI-related services during the consulting period

TaskTime reference · signed 24 June 2026 · ongoing at issue date


DataAnnotation

Expert evaluation for production AI systems.

Summary: A scoped technical-contributor engagement focused on testing and improving AI outputs through coding, reasoning, prompt, and response-quality work.

Coding-response evaluation and error identification

Instruction-following and edge-case analysis

Clear written rationales for model feedback

Engagement context available after an initial conversation


Helm & Nagel / Konfuzio

Senior engineering inside an enterprise Document AI product team.

Summary: Contract senior engineering with Helm & Nagel covered enterprise document-processing products from Python and Django backend services through model integration, SDK work, testing, CI, and RAG-based product development.

Senior Software Engineer / Developer · contract

Python and Django services, REST APIs, data models, and asynchronous processing

AI-model and SDK lifecycle work, testing, version management, and CI

NLP, computer vision, and enterprise document automation

Backend services taken from prototype through production release

Helm & Nagel reference · signed 28 June 2026


KorrAI

Risk intelligence · technical consulting

Product engineering for traceable risk intelligence.

Summary: Technical consulting around a platform that brings documents, geospatial evidence, and AI-assisted reasoning together for site-risk and engineering review.

Document and structured-data workflow design

Geospatial evidence and site-risk interfaces

Traceable reporting, citations, and review paths

Production reliability and technical delivery


Boundless

Immigration workflows · technical lead & consultant

Technical leadership for a document-heavy immigration platform.

Summary: Hands-on product and engineering support for software that guides immigration workflows, checks application documents, and keeps requirements and case status visible.

Technical lead & consultant · workflow software

Eligibility, checklist, and document-intake workflows

Application review and exception handling

Delivery, testing, and production handover


One workspace for projects, scenes, versions, and precise edits.

Keep a visual story or product narrative coherent while the team develops scenes, compares versions, and requests bounded changes.

Project
Story
Scene
Annotated change
Approved version

A working Django application for project, character, story, and scene management with variants, region notes, and video handoff.

Internal R&D software shown through its real interface. It is not presented as a client deployment or a standalone commercial product.


Turn visual references into repeatable production rules.

Translate a reference into composition, lighting, camera, materials, and continuity decisions that can be reviewed before generation.

Reference
Structured direction
Controlled variants
Visual review
Selected scene

Implemented reference analysis, typed scene layers, variant generation, visual critique, and retained run history.

The workflow demonstrates production control. Reference rights, creative approval, factual accuracy, and final release remain with the client.


Build the story around timed beats before rendering every frame.

Keep scripts, timed beats, visual direction, references, generated media, B-roll, and export packages attached to one story record.

Script
Timed beats
Visual plan
Media generation
Export package

Implemented story records, beat planning, reference inputs, generated-media tracking, B-roll management, and export flows.

Internal production tooling. It demonstrates workflow design and implementation, not audience, campaign, or commercial performance.


Give agents small tools and clear limits.

Expose bounded search, calculations, drafting, and system actions through named tools, permissions, tests, and review points.

Approved request
Named tool
Scoped action
Human review
Run record

Inspectable real-estate and legal workflow repositories with structured tools, deterministic logic, access boundaries, and tests.

Reference implementations only; not client outcomes, commercial adoption claims, professional advice, or autonomous decision systems.


Document workflows engineered for production.

Build backend services and model integrations for enterprise document intake, processing, retrieval, and product use cases.

Document intake
Asynchronous processing
Model integration
API or SDK
Tested release

Signed professional evidence covers Python and Django services, REST APIs, asynchronous pipelines, SDK work, testing, model integration, and RAG.

The public record describes verified engineering scope. It does not claim client metrics, endorsement, or results beyond the signed evidence.


Storyboard first. Animate the frames that work.

Turn a brief into structured scenes, compare visual options, approve keyframes, and move only the selected direction into video.

Brief
Scene plan
Image variants
Selected keyframe
Motion test

Implemented scene planning, variant generation, selection, image-to-video handoff, and frame extraction.

AI-generated internal R&D. It demonstrates the production method, not a client result or audience outcome.


KOZU: one character, twenty connected scenes.

Carry a final character design through a contained workshop story while props, camera positions, and the crystal evolve from scene to scene.

Character canon
Story phases
Scene layers
Continuity review
Final sequence

A twenty-scene generated sequence with retained story structure, scene-specific direction, and progressive visual state.

AI-generated internal R&D. The sequence is shown as a continuity experiment, not client work or a commercial IP claim.


One approved identity, carried across a brand world.

Turn a first-party image set into a repeatable production system for portraits, product and brand scenes, connected stories, and short motion.

Consent & source set
Train & compare
Identity review
Scene system
Motion handoff

Versioned model experiments, selected stills across distinct environments, longer narrative sequences, and an image-to-video test.

Internal R&D using a first-party likeness with permission. Not client work, not an audience-performance claim, and not a service for replicating people without consent.


Train, compare, refine, repeat.

Curate a visual dataset, run controlled generations, compare models and prompts, refine weak assets, and keep the processing history attached.

Curate
Train or condition
Generate
Compare & refine
Handoff

Implemented dataset preparation, model comparison, multi-angle generation, selective refinement, and asset provenance.

A working internal workflow. Results depend on the source material, model, review process, and release criteria agreed for the project.


Carry a visual world into motion.

Use a selected scene as the starting frame, add bounded movement and camera direction, inspect the transition, and extend only when it holds together.

Selected frame
Motion direction
Short render
Review
Next scene

Short image-to-video experiments tied back to selected visual frames and reusable scene direction.

AI-generated internal R&D. The clips demonstrate motion handoff and review, not a finished film or client deliverable.


Structured brief builder

Product data or references → reusable production brief

Named inputs and reviewable scene layers

Assembled within a defined workflow; not sold as a standalone software catalogue.


Coordinated image sets

Approved brief → views, variants, flat lays, and scenes


Output evaluation

Candidate outputs → side-by-side selection


Targeted visual changes

Selected image + bounded instruction → revised version


Repair and upscaling

Approved image → corrected delivery asset


Story and scene continuity

Story record → timed beats and connected scenes


Image-to-video handoff

Approved keyframe → motion job and extracted frames


Job history and retries

Limits, status, selection, and usage records


Real Estate MCP reference implementation

Summary: Public property-workflow tooling demonstrates versioned tools, deterministic finance logic, access boundaries, tests, and optional data integrations.

Reference implementation only; not a client outcome, commercial adoption claim, investment recommendation, or professional valuation system.


Legal MCP reference implementation

Summary: Public legal-workflow tooling demonstrates explicit sources, structured prompts, access boundaries, testing, and professional-review controls.

Reference implementation only; not a client outcome, commercial adoption claim, legal advice system, or substitute for qualified review.


Technical delivery partnerships

Summary: Non-marketing consultancies can retain the client relationship while Clearstone owns a defined AI or software build, testing, acceptance evidence, and handover.

Relationship ownership and technical ownership are agreed before delivery

No lead generation or marketing delivery

No unbounded subcontracting or open-ended staff augmentation


Work and evidence boundaries

Summary: The public Work and Case Studies pages separate documented professional work, public reference implementations, and internal AI-generated workflow examples.

Selected engagement context is kept concise on the public site and can be discussed after an initial conversation.

Public reference implementations demonstrate engineering structure and are not presented as client adoption or commercial outcomes.

Decorative brand and offer imagery is photorealistic AI/CG conceptual visualization, not photography of physical installations and not evidence of client delivery.

Case-study, studio, generative-media, identity, portrait, logo, and map imagery retains its source-specific role and disclosure; it is not part of the decorative concept-image system.


Explicit service exclusions

Marketing, advertising, media buying, campaign automation, attribution, and ad-tech

Lead generation, publishing, distribution, and audience-growth delivery

Open-ended staff augmentation and 24/7 support

Regulated legal, financial, medical, lending, valuation, or other professional judgment

Autonomous external submissions or production actions without agreed controls

Agentic adversary campaigns without the asset owner's written authorization and signed campaign boundary

Unapproved denial-of-service, persistence, social engineering, destructive effects, or real-data exfiltration


Privacy policy

Summary: How Clearstone handles website use, workflow inquiries, scheduling, service delivery, diligence information, retention, and service providers.


Terms of service

Summary: Website and professional-service terms for Clearstone Digital Services LLC, including client responsibilities, intellectual property, acceptable use, and governing law.


Refund and rescheduling policy

Summary: Clearstone booking-fee, preparation, rescheduling, cancellation, delivery-failure, and refund terms for professional services.


Structured workflow inquiry

Summary: Describe one recurring workflow or a high-level agentic-adversary research need, current tools or environment, desired outcome, timing, and budget context without submitting credentials, production data, confidential client material, target inventories, or vulnerability evidence.


Agentic adversary research campaign application

Summary: Apply with a high-level category describing what an adversary might try to gain or change, the available test environment, authorization confirmation, preferred campaign mode and timing, and agreement to the anonymized research-summary condition. Do not submit hosts, credentials, vulnerability evidence, or confidential architecture.


Intro call

Summary: A brief introductory conversation about one recurring AI, software, document, or integration workflow, scheduled after a short message or direct email.


What does Clearstone build?

Question: What does Clearstone build?

Answer: Agent harnesses, long-running agents, custom MCP servers, chat and voice agents, private knowledge systems, Document AI, workflow software, integrations, and selected generative-media pipelines for defined recurring work.


Who is Clearstone for?

Question: Who is Clearstone for?

Answer: Operations, product, and AI leaders with expensive recurring workflows, plus non-marketing consultancies that need senior technical delivery capacity.


How does an engagement begin?

Question: How does an engagement begin?

Answer: Describe the workflow or application through the contact path. Clearstone reviews fit and, when there is a match, proposes the right engagement—often the Technical Retainer for ongoing senior review.


What is Clearstone's Agentic Adversary Simulation?

Question: What is Clearstone's Agentic Adversary Simulation?

Answer: It is a design-partner research offer for authorized, objective-led product-abuse campaigns. The standard founding format is ten business days and three measured-autonomy rounds. Agents explore permitted routes, Clearstone logs intervention and verifies candidate findings in a separate human reproduction step, and the client receives the route, evidence, limitations, and remediation priorities. No result is guaranteed, and no payment is accepted until every readiness gate passes.


Can the Agentic Adversary Simulation touch a live product?

Question: Can the Agentic Adversary Simulation touch a live product?

Answer: Only with explicit approval and only to observe and prove. Live work cannot create customer-visible, third-party, economic, destructive, persistent, or irreversible effects. Tests that could change customer, authorization, data, resource, automated-action, or economic state use isolated replicas, synthetic identities and accounts, canary data, and non-redeemable value.


What does private AI mean?

Question: What does private AI mean?

Answer: The privacy claim depends on the selected hosting, model, retrieval, identity, networking, retention, and tool boundary. Customer-hosted, customer-owned cloud, and controlled hybrid patterns are described separately.


Does Clearstone provide legal or financial judgment?

Question: Does Clearstone provide legal or financial judgment?

Answer: No. Systems can support research, extraction, drafting, routing, and review, but regulated professional judgment and final decisions remain with qualified people.


What do the case studies demonstrate?

Question: What do the case studies demonstrate?

Answer: They show how structured inputs move through creative-production software, visual review, agent tooling, and document workflows. Each study is labelled as internal R&D, a public reference implementation, or documented professional work.


What does the generative-media work demonstrate?

Question: What does the generative-media work demonstrate?

Answer: It shows storyboard-first video planning, character and scene continuity, consent-based identity and brand production, controlled visual-model workflows, human review, and image-to-video handoff through labelled internal experiments.


What proof is available?

Question: What proof is available?

Answer: The Work page presents bounded professional-work facts, public reference implementations, and a path to request original professional references after a first conversation.


How can a prospect contact Clearstone?

Question: How can a prospect contact Clearstone?

Answer: Send a short message through the contact page or email directly; a brief intro call is scheduled after review when there is a match. Credentials, target details, vulnerability evidence, client-owned production material, and regulated information should not be submitted through the form.


Clearstone — AI, Software & Agentic Adversary Research

Clearstone builds private AI systems, controlled agents, and workflow software, and is developing an Agentic Adversary Simulation research pilot starting with digital economies.

Overview of Clearstone's positioning, buyer triggers, three service families, and contact paths, with detailed offers kept on their dedicated pages.


AI, Software & Agentic Adversary Services — Clearstone

Private AI systems, controlled agent harnesses, workflow software, integrations, and an active Agentic Adversary Simulation research pilot.

Detailed descriptions of private AI systems, controlled agents, workflow software, the Agentic Adversary Simulation research pilot, industry patterns, and engagement formats.


Agentic Adversary Simulation | Clearstone

Authorized, research-stage adversary campaigns starting with digital economies and selected products where access, data, authority, compute, entitlements, or automated actions are at stake.

A design-partner waitlist for authorized, objective-led product-abuse campaigns. Agents choose permitted routes inside externally enforced limits, and Clearstone human-verifies candidate findings in a separate reproduction step.


Technical Retainer — AI & Software Systems — Clearstone

A monthly AI systems retainer for senior review, agent systems, private cloud AI, MCP and system support, and optional open-weight model training—with written capacity, cost caps, and handover.

Technical Retainer: Eight to twelve senior hours each month for difficult AI and software decisions, with every decision and hour written down. The page states its starting price, typical duration, deliverables, client inputs, working stages, scope boundaries, and commercial terms.


AI Agents, MCP & Product Engineering Work — Clearstone

Documented AI and software work plus agent harnesses, long-running agents, MCP servers, chat and voice agents, private knowledge systems, Document AI, and workflow automation.

Documented professional work and current capabilities in agent harnesses, long-running agents, MCP servers, conversational AI, private knowledge, Document AI, workflow software, and technical delivery partnerships; generative media appears as a secondary specialist capability.


AI Workflow & Production-System Case Studies — Clearstone

Case studies of creative-production software, reference-to-scene workflows, controlled agent tools, and production Document AI.

Bounded case studies of creative-production software, reference-to-scene workflows, controlled agent tools, and production Document AI.


Generative Media Work & Experiments — Clearstone

Selected internal work in AI image storyboarding, consent-based identity and brand production, controlled visual-model pipelines, character continuity, visual evaluation, and image-to-video production.

Selected internal generative-media experiments covering storyboard-first video, character continuity, identity-led brand production, controlled visual-model workflows, reference evaluation, and image-to-video handoff.


Adversary Research — Clearstone

Evidence-led research on agentic-security campaigns, evaluation and containment failures with real-world impact, compromised agents, supply-chain incidents, and controlled field evidence.

Adversary Research publication covering documented agentic-security campaigns, evaluation and containment failures with real-world impact, compromised agents, supply-chain incidents, and controlled field evidence with explicit evidence labels.


What Is an Agentic Adversary? — Clearstone Adversary Research

A working definition of agentic adversaries across malicious campaigns, compromised agents, containment failures, operational effects, and authorized adversary simulation.

A working definition of an agentic adversary that separates operator intent, assigned objective, autonomy, and effect across malicious campaigns, compromised agents, containment failures, and authorized simulation.


AI & Robotics News Stream — Clearstone

Evidence-first updates on open-weight models, agent security, embodied autonomy, industry discussion, and AI regulation (EU, US, Asia) from the last 30 days, with source links and reported benchmarks.

Evidence-first last-30-days stream across open-weight model releases, agent security incidents and defensive lessons, embodied-autonomy research, industry discussion, and AI regulation in the EU, US, and Asia with source links and reported benchmarks where claimed.


About Clearstone — AI, Software & Research Delivery Team

Clearstone Digital Services LLC is a Wyoming-registered AI and software partner with senior technical leadership and specialist research depth.

Clearstone's delivery team, specialist capabilities, business identity, working agreement, and diligence path.


Contact Clearstone — Start a Conversation

Send a short workflow inquiry or apply at a high level for the Agentic Adversary Simulation research pilot. Do not include sensitive target details.

Single contact path for workflow inquiries and a high-level Agentic Adversary Simulation research-pilot application, with a direct email option and explicit data-sensitivity guidance.


Privacy Policy — Clearstone

How Clearstone handles website use, workflow inquiries, scheduling, service delivery, diligence information, retention, and service providers.

Privacy practices for website use, inquiries, scheduling, delivery, diligence, retention, and service providers.


Terms of Service — Clearstone

Website and professional-service terms for Clearstone Digital Services LLC, including client responsibilities, intellectual property, acceptable use, and governing law.

Website and service terms, client responsibilities, intellectual property, acceptable use, liability, and governing law.


Refund & Rescheduling Policy — Clearstone

Clearstone booking-fee, preparation, rescheduling, cancellation, delivery-failure, and refund terms for professional services.

Booking fees, preparation, rescheduling, cancellations, refunds, and delivery-failure policy.