You will get Claude Code subagents and multi agent workflows built around your repo
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Top Rated
Project details
One agent cannot hold your whole codebase. Context fills, it reviews its own work and approves it, and long tasks drift halfway through.
The fix is a team of agents, each scoped to one job, with handoffs you can actually inspect. That is what I build.
What I set up:
• Agent topology: which agents you need and what each one owns
• Scoped subagents in .claude/agents, each limited to the tools its job requires
• Separate build, review and test agents, so nothing marks its own homework
• Orchestrated workflows for review, refactor, migration and release
• Parallel execution across independent files
• MCP servers wired to the systems each agent needs to reach
Everything lands as files in your repo. Version controlled, documented, and yours to edit.
ClawStack is my own multi agent orchestration platform. HomePortfolio runs parallel Claude subagents across 36 million UK properties. This is what I build every day, not a side interest.
Tell me your stack and what your agents keep getting wrong.
The fix is a team of agents, each scoped to one job, with handoffs you can actually inspect. That is what I build.
What I set up:
• Agent topology: which agents you need and what each one owns
• Scoped subagents in .claude/agents, each limited to the tools its job requires
• Separate build, review and test agents, so nothing marks its own homework
• Orchestrated workflows for review, refactor, migration and release
• Parallel execution across independent files
• MCP servers wired to the systems each agent needs to reach
Everything lands as files in your repo. Version controlled, documented, and yours to edit.
ClawStack is my own multi agent orchestration platform. HomePortfolio runs parallel Claude subagents across 36 million UK properties. This is what I build every day, not a side interest.
Tell me your stack and what your agents keep getting wrong.
AI Development Type
Model Tuning, Software MaintenanceWhat's included
| Service Tiers |
Starter
$349
|
Standard
$799
|
Advanced
$1,899
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
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Solomon’s vast knowledge of cloud migrations and incredible adaptability have been instrumental in elevating our projects and pushing our company to new heights during the two years we worked with him.
Solomon's capabilities and competence was impressive as he helped orchestrate and execute one of our client’s cloud migrations of over 400 servers in a complex, multi-account, hybrid AWS environment. His in-depth understanding of cloud security, architecture, networking, and the migration process, combined with his strategic approach and meticulous attention to detail, ensured a seamless and successful operation.
Solomon adapts to varying project landscapes quickly. He worked with a range of our clients and showed a remarkable ability to grasp unique requirements and craft solutions tailored to each specific scenario. His versatility and agility in managing diverse projects was a huge asset!
Highly recommended!!
Solomon's capabilities and competence was impressive as he helped orchestrate and execute one of our client’s cloud migrations of over 400 servers in a complex, multi-account, hybrid AWS environment. His in-depth understanding of cloud security, architecture, networking, and the migration process, combined with his strategic approach and meticulous attention to detail, ensured a seamless and successful operation.
Solomon adapts to varying project landscapes quickly. He worked with a range of our clients and showed a remarkable ability to grasp unique requirements and craft solutions tailored to each specific scenario. His versatility and agility in managing diverse projects was a huge asset!
Highly recommended!!
About Solomon
AI Agent Developer & Automation Engineer | LLM, RAG, Claude, GPT
100%
Job Success
York, United Kingdom - 3:57 pm local time
I design and ship AI agents, LLM automations, and RAG systems that run in production, not just polished demos. If you have a workflow that should be intelligent, a knowledge base that should answer questions accurately, or a manual process eating your team's time, that is the work I do every week.
Over the last three years I've built and deployed:
✅ Multi-agent systems that plan, call tools, and complete real tasks end to end
✅ RAG pipelines with vector search (pgvector) that answer from your own documents, with citations
✅ LLM workflow automations that connect your tools, data, and decisions
✅ Production AI integrations on the Anthropic (Claude) and OpenAI (GPT) APIs, with MCP tool servers, evaluation harnesses, and guardrails
I'm currently a Lead Technical Architect and AI Enablement Lead at Accenture, where I deliver large-scale GenAI and automation solutions inside a highly regulated UK government programme. Security, accuracy, and reliability are non-negotiable there, and I bring that same rigour to every freelance engagement.
Alongside that, I've independently built and launched five live AI products, including:
✅ An enterprise AI workflow automation platform
✅ A multi-agent orchestration platform
✅ A UK property intelligence engine covering 36M+ properties
✅ An adaptive AI tutor built on a Bayesian knowledge-tracing and Socratic engine
So when you hire me, you are not getting someone who only talks about AI. You are getting someone who builds it, ships it, and keeps it running.
What I can help you with:
✅ AI agents and assistants (customer support, research, ops, internal copilots)
✅ Workflow and process automation (n8n, Make, Zapier, custom Python)
✅ RAG and document intelligence (chatbots over your docs, search, summarisation)
✅ LLM app development and API integration (Claude, GPT, open models)
✅ AI architecture reviews, audits, and adoption strategy for teams
✅ Cloud deployment and security for AI systems (AWS, Azure, Docker, Kubernetes)
Background and credentials:
✅ PhD in Computer Science, research in machine learning and cybersecurity
✅ Former University of York lecturer in Applied AI, ML, Data Science, and Cyber Security
✅ AWS Certified: Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty, DevOps Engineer Professional, Advanced Networking Specialty
✅ 8+ years across Fortune 500s, startups, government, and small businesses
How I work:
I start with the outcome you actually need, scope it honestly, and deliver in clear increments you can see and test. Strong communication, no jargon unless you want it, and systems you can maintain after the engagement ends.
If you are exploring an AI idea, automating something painful, or modernising how your team works, send me a message with what you are trying to achieve and I will tell you exactly how I would approach it.
Let's build something that works.
Solomon, PhD
Steps for completing your project
After purchasing the project, send requirements so Solomon can start the project.
Delivery time starts when Solomon receives requirements from you.
Solomon works on your project following the steps below.
Revisions may occur after the delivery date.
Repo and workflow read
I go through your codebase and how your team actually ships, because agent topology should follow your real delivery process rather than a diagram.
Topology design
Which agents exist, what each owns, what tools each is allowed, and how work hands off between them. Agreed with you before anything is built.