Evaluation harnesses · managed runtimes · retrieval benchmarks · support

Practical services for measurable agentic AI systems.

AIML Solutions helps individuals, consultants, startups, and teams build evaluation harnesses, retrieval-quality benchmarks, agentic security test suites, secure runtimes, multi-agent workflows, and validation-first data workflows.

Pricing below is a planning guide for small, fixed-scope engagements. Same-week rescue calls and 48-hour audit starts are available when calendar permits. Final quotes depend on access requirements, urgency, documentation depth, security constraints, and whether the work is audit-only or implementation.

View Evaluation Harnesses View Managed Runtime Request Scope Call

Fastest Start: Agent Runtime Rescue Call

60-90 minutes

Live Diagnostic

For broken or unstable OpenClaw, OpenCode, NemoClaw, Docker, VPS, Mac mini, or agent workflow setups.

  • guided screen-share or read-only review
  • short findings note
  • next-step recommendation
  • creditable toward larger rollout when agreed in advance

Typical range: $150-$250

Best for

Immediate Operational Pain

Use this when the issue is concrete: gateway/process confusion, disk/log growth, workspace boundaries, container trouble, failed setup, unclear restart path, or agent-tool behavior that needs triage.

Request Rescue Call

Sample Deliverables

Prospects can review public-safe examples before booking. Client-specific findings, account details, credentials, and private paths are never published.

Sample Runtime Audit

A sanitized example of the ranked findings, approval gates, and remediation style used in a MultiClaw OS runtime audit.

View sample audit

Fleet Case Study

A public-safe architecture case study showing how a small multi-agent runtime can be organized with role boundaries, task board discipline, and incident learning.

View case study

Runnable Repo Proof

AgentTools includes a harness-audit CLI, RecallOps shows retrieval/evaluation patterns, and AssureOps connects claims, evidence, hazards, controls, and monitors.

View harness offer

Service Packages

Flagship

Agent Evaluation Harness Build

For teams that need to know if an agent workflow got better or worse after a model, prompt, tool, or config change.

  • golden set and rubric
  • tool-call assertions
  • trajectory diffing
  • CI regression gate

Typical range: $3,500-$12,000

View harness page
Retrieval

RAG Quality Benchmark

For domain retrieval systems that need citation-grounded answers and measurable retrieval strategy comparisons.

  • corpus and case design
  • citation-grounding checks
  • context precision/recall
  • strategy leaderboard

Typical range: $3,500-$15,000

Security

MCP / Agentic Security Test Suite

For tool-using agents that need prompt-injection, authorization, sandbox-boundary, and forbidden-action test cases.

  • adversarial fixtures
  • tool-policy checks
  • unsafe-action assertions
  • review scorecard

Typical range: $4,000-$15,000

1-3 days

Managed MultiClaw Runtime

For solo operators and small teams that want a scoped hosted or local agent runtime with handoff docs and optional support.

  • VPS, Mac mini, workstation, or hybrid target
  • workspace boundaries
  • Docker and recovery notes
  • handoff document

Starter scope: from $750

View product page
3-5 days

MultiClaw OS Runtime Audit

For teams already using agents and needing better boundaries, reliability, and review discipline.

  • runtime map
  • tool-permission review
  • approval gate recommendations
  • prioritized report

Typical small audit: $1,000-$3,000

Team rollout

MultiClaw Fleet Rollout

For agencies and teams that need multiple isolated agent workspaces for separate clients, projects, users, or research tracks.

  • base runtime pattern
  • isolated workspace layout
  • access and recovery map
  • onboarding notes

Typical range: $7,500-$18,000+

Optimization

Agentic Workflow Optimization

Improve agent loops for task order, tool selection, context handling, token efficiency, retry strategy, stop conditions, and handoff artifacts.

  • loop review
  • token-saving recommendations
  • tool-use improvements
  • operator checklist

Typical range: $1,500-$6,000

About 1 week

Agent Evaluation Environment Review

For benchmark teams and AI shops using Docker, Kubernetes, PyTest, verifier scripts, and coding agents.

  • reproducibility review
  • scoring determinism
  • transcript/tool-use analysis
  • environment hardening notes

Typical review: $1,500-$5,000

Retrieval/data

Retrieval And Data Workflow Buildout

For teams building metadata-aware search, RAG workflows, public-source research systems, or validation-first data pipelines.

  • retrieval test cases
  • metadata and filtering review
  • source freshness/provenance
  • handoff documentation

Typical range: $2,500-$9,000

Data quality

Data Source And Backtesting Ops Audit

For AI, analytics, financial-risk, and research teams evaluating market/public/API/paid data feeds and backtesting preparation.

  • provider inventory
  • freshness/provenance checks
  • source matrix
  • ingestion and backtesting risk report

Typical audit: $1,500-$6,000

Support

Monthly Operator Support

Optional support after a rollout, audit, or sprint for teams that want ongoing help without hiring full-time.

  • runtime check-ins
  • small fixes and docs updates
  • priority support window

Quoted by scope

Engagement Process

How Work Starts

  • scope call and current workflow inventory
  • fixed deliverables and evidence targets
  • cost/risk boundaries agreed before implementation
  • private details kept out of public artifacts

Delivery Standards

  • plain-language handoff docs
  • repo or runtime map
  • test, smoke, or verification path where practical
  • optional monthly support after delivery

Contact

Available for fixed-scope projects, hourly consulting, contract roles, technical review, and agentic AI/data/cloud engineering engagements.

Hourly consulting generally starts in the $85-$125/hr range. Specialized agent/runtime/evaluation work may quote higher depending on scope, urgency, security requirements, and implementation depth.

If you are unsure where to start, request a small harness, retrieval, or runtime audit first. It creates a clear scope, reduces risk, and can convert into implementation only if the findings justify it.

dennis.donaghy@aiml-solutions.com