Use Cases we can help with

We have built several private Agentic AI solutions that target specific business problems.
With our combined 80+ years experience in IT/Finance. We are aptly positioned to provide advisory on AI Integrations.
Proof of Concepts can be rapidly produced thanks to Agentic AI.

We haven’t disclosed our best ideas below, so get in touch to find out how Agentic AI can transform your organisation

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Trading

Noise vs Signal
Market data moves incredible fast. It’s impossible to monitor everything. Agents can spot correlations where humans can’t.

Serve your clients better with content based on your data unlocked.

Leverage internal and external data – opportunity to lead the charge on this.

Asset Management

Private Assets – Enhanced/Automated due diligence, portfolio insights via Chatbot, obligor surveillance tech etc.

Public Assets – Enhanced Allocation models. Advanced analysis. Monitoring of style/factor shifts and biases.

Services/Property & REtail Banking

Client Funnels & Pricing
AI Agents can answer questions about prospects/existing customers based on CRM/social media profiles.

AI pictures (not so much video yet) are now indistinguishable from real photos. Agentic AI turbocharges the marketing process

Agents can be your expert in demographics & psychographics

Marketing

We understand alternative marketing channels, like Youtube and Reddit. We understand UGC. We understand how to turbocharge marketing using Agentic AI.

We have managed to unlock advertising access to over 200,000+ people in certain target markets on Reddit and gained over 0.5m views on Youtube via a variety of channels.

AI LIteracy

AI Literacy is about helping your organisation adopt the mental shift required to leverage AI. Everyone needs to adopt a leverage mindset and be less in the details

Learning

  • Safety: Create a Sandbox – Agents can’t really be contained and have been known to delete entire projects. Use Docker to create a wrapper around the Agents activities. Or make a new user account on your PC with non-Admin privileges and let Microsoft file permission create a boundary. Use the “–yes” command only if the Agent can’t access non-backed-up files – Take a Belt & Braces approach. Create code backups at least daily – in case the Agent deletes everything
  • Your Role: As someone progressing Agentic Coding your journey begins as (i) code reviewer, then (i) you start employing sub-agents to discuss/check the work of the main agent for you, (iii) then you build loops where the code is iterated on and bugs are worked on with a team of sub-agents agents working autonomously: testing/deploying/measuring/fixing bugs and repeat.
A brown pawn with a crown stands prominently on a chessboard, symbolizing strategic play.
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  • The Agentic Coder becomes a master of the levers & limitations of the Agents. For example:
  • Problem: Agents cannot check their own work well (Solution: employ a subagent to do this).
  • Problem: Agents can get confused if the CLAUDE.md file gets too large (Solution: frequently amend your .md file)
  • Problem: Agents keep lying and saying they checked everything. Solution: Ask Agents (or set in CLAUDE.md) for code evidence for claims made.
  • Creating codes from scratch: you will need to pass as much context to the Agent as possible, detailed plans and examples of what you want. Get the Agent to describe the problem back to you before it starts. Ask the agent to write location of the reference files to its CLAUDE.md file (An advanced concept is to use an MCP like Playwright which allows the Agent to see the screen and edit UI more intuitively)
  • The CLAUDE.md file is the “initialiser” file that all agents read before a session starts, it sets the scene for the agents behaviours and limitations and what it will optimise for
  • Critical questions to ask when things go wrong: What in the CLAUDE.md made you make X mistake? —> then update the CLAUDE.md file appropriately
  • Personally I like to work with ClaudeCode but have Codex (OpenAI) as one tab and I ask it questions about my code base sometimes then pass it to Claude – the insights are always completely different to Claude!
Detailed view of a stock market screen showing numbers and data, symbolizing financial trading.
  • Migrations (e.g. Java to Kotlin) are relatively smooth because you provide the Agent with the old project to refer to. And use “–yes” to allow it to work for hours (with sub-agents critiquing and checking the work)
  • Github Mac Test Automation – Especially useful if you don’t have a Mac, but want to deploy on Apple products. You set Github as a connected experience on the Claude website. Then you ask Claude to login to Github via CLI. Once inside you ask Claude to push the latest update, then read the compilation/error logs, then make changes (sub-agents review) then push the code again and iterate as many times as you wish.
  • For Java builds on Windows I like to run the following –> Agent discusses fix with sub Agents –> test with gradle –> auto test with headless emulator (a phone in the PC) –> check for errors and iterate from beginning

William Gillbert has over fourty roles in his repertoire

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Upcoming Show

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06 / 14

2021

TOURS

William Gillbert has perform at the world’s leading theatre

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