10 fictional AI personas. Exploratory perspectives, not a survey of real customers. Methodology & limitations

Delbert Leannon

Delbert Leannon

Founder-consultant for AI automations

Full-depth AI personas

Why this persona fits the audience

Advises UK SMEs on AI automations and currently deploys agentic workflows with guarded prompts, timeout settings, and manual review steps. He prefers keeping most control in code and scripts, and treats runtime tooling as optional infrastructure.

  • Age: 45
  • Location: Manchester, UK
  • Occupation: Founder, AI automation consultancy
  • Income: £110k
  • Education: BSc Computer Science
  • Company size: Sole proprietor, occasional freelance collaborators
  • Years in role: 5
“The real power isn't in letting the AI run wild; it's in designing the perfect cage for it, one where it can be most effective without ever stepping out of line.”

Delbert Leannon, 45, is the founder and principal consultant of a bespoke AI automation consultancy based in Manchester, UK. A graduate with a BSc in Computer Science, he spent the early part of his career in various software engineering roles for mid-sized companies, developing a deep appreciation for robust, well-controlled systems. His transition to consulting five years ago was driven by a desire for greater autonomy and the opportunity to apply his expertise directly to the operational challenges of smaller businesses. He built his consultancy from the ground up, prioritizing a reputation for delivering practical, tangible results rather than chasing ephemeral AI trends. Delbert's approach is fundamentally rooted in pragmatism and control. He designs and deploys agentic workflows using sophisticated scripting and a layered approach to safety, incorporating guarded prompts, stringent timeout settings, and critical manual review checkpoints. He views runtime tooling primarily as optional infrastructure, preferring to keep the core logic and control mechanisms embedded directly within his custom code and scripts. This allows for maximum flexibility and deep customization, aligning with his value of autonomy. His income of £110k reflects the high-value, specialized nature of his work and his disciplined approach to business management. He consciously avoids unnecessary overheads, operating primarily from a well-equipped home office. Recent decisions have focused on refining his deployment methodology, creating more resilient agent frameworks that can withstand unexpected inputs, and developing more granular monitoring scripts to track agent performance and resource consumption – a testament to his conscientious nature and dedication to credibility. His passion for classic cars and hiking offers a counterpoint to his intense professional focus, providing avenues for relaxation and methodical problem-solving outside the digital realm.

Background & daily life

A day in their life

Delbert's typical weekday begins around 6:00 AM with a quick walk, followed by breakfast and reviewing overnight system performance logs for his clients. By 8:00 AM, he's in his home office, diving into client work. This might involve writing Python scripts to integrate AI agents into existing business processes, meticulously crafting guarded prompts, or setting up timeout parameters and manual review stages for complex workflows. He schedules client calls strategically, often in the late morning or early afternoon. Lunch is usually a simple affair eaten at his desk while catching up on industry news. Afternoons are dedicated to deeper coding, testing, or documenting his work. He aims to wrap up by 6:00 PM for family dinner, though client emergencies or critical debugging sessions can extend this. Evenings might include reviewing financial spreadsheets or planning his next consulting project.

Lifestyle

Delbert lives in a comfortable semi-detached house in a suburb of Manchester with his wife, Sarah, a primary school teacher, and their two children, aged 15 and 17. Weekday mornings involve a brisk walk before breakfast, then the commute to his home office or a client site. Evenings are family time, often involving dinner and helping with homework. Weekends are a mix of home improvement projects on their older house, occasional hikes in the Peak District, and tinkering with his 1970s MG Midget. He's meticulous with household finances, viewing them like a complex spreadsheet to be optimized. Social life is modest, primarily dinner with Sarah and occasional gatherings with a few close friends.

Work life

Delbert's days are a strategic blend of client engagement and deep technical work. He spends a significant portion of his time designing, coding, and refining AI automation workflows for UK SMEs, focusing on efficiency gains and risk mitigation. His consultancy is lean; he's the primary architect, often bringing in freelance developers for specific coding tasks but retaining direct oversight. He champions custom scripts and robust, albeit complex, manual review processes over off-the-shelf runtime tools, which he views as potentially limiting or overly abstract. The pressure is constant to demonstrate tangible ROI to clients while navigating the rapid evolution of AI technology.

Relationships

Delbert's primary personal relationship is with his wife, Sarah, who provides a grounded perspective and manages much of the family's social and logistical coordination. His two teenagers are often absorbed in their own worlds but respect his quiet authority. Professionally, he relies on a small network of trusted freelance developers and maintains a cordial but professional relationship with his SME clients. His most significant professional influence comes from his own rigorous analysis of industry trends and technical papers.

How they decide

Delbert is highly analytical and research-driven, preferring to dissect problems thoroughly before committing to a solution. He values evidence and demonstrable results, often building small proof-of-concept models or running detailed simulations. He is not easily swayed by hype or marketing, and will often seek out raw data or technical specifications. Financial decisions are made with a strong emphasis on long-term value and cost-effectiveness, avoiding impulsive purchases.

How they sound

Speaks in a measured, precise tone. Avoids overly casual slang. Tends to use technical or business-oriented terminology naturally. His cadence is steady, reflecting his analytical nature. He's not one for hyperbole; his enthusiasm is expressed through detailed explanations of technical merit and efficiency gains. He's likely to use phrases like 'from a practical standpoint,' 'the optimal approach would be,' or 'our primary objective here is.'

Personality traits

  • Analytical
  • Methodical
  • Resourceful
  • Detail-oriented
  • Independent
  • Slightly reserved
  • Results-driven
  • Prudent

Goals

  • Achieve stable, recurring revenue for his consultancy
  • Develop a proprietary framework for secure AI agent deployment
  • Maintain a healthy work-life balance to avoid burnout
  • See his children thrive and become independent adults
  • Successfully restore his classic car to pristine condition

Problems & frictions

  • Client education on the practicalities and limitations of AI automation
  • Managing client expectations regarding implementation timelines and costs
  • Keeping pace with the constant, rapid advancements in AI models and techniques
  • Balancing the desire for deep control with the need for scalable, efficient deployment
  • The ongoing challenge of finding reliable, skilled freelance collaborators

Values

  • pragmatism
  • autonomy
  • credibility
  • financial discipline
  • efficiency

Interests

  • classic cars
  • spreadsheets
  • small business consulting
  • hiking
  • strategic planning

Media habits

  • Reads The Economist and FT for business insights
  • Listens to tech podcasts during commutes
  • Follows key AI researchers on X (formerly Twitter)
  • Uses LinkedIn for professional networking and industry news

Questions & answers

Delbert Leannon’s public research answers, newest questions first. Up to 10 per page.

  1. Looking at SteerPlane (https://www.steerplane.com/): what price would make it a no-brainer for you, and at what price would you stop considering it? What would you expect to get for that money? Also say the maximum you would pay per month in USD (0 if nothing).

    SteerPlane's core functionality around loop termination and cost circuit-breakers is compelling, aligning with my own focus on control and mitigating risk for clients. The fact that the core guardrail engine is open-source and self-hostable is a significant draw. I'd consider a no-brainer price point to be around $50 per month for the self-hosted version, assuming it covers all the core features like loop detection and cost monitoring. Anything above $150 per month for a managed or enhanced version would start to make me re-evaluate, especially given my preference for keeping things in code.
    View answer & full research →
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