The Influencers Lab Ltd
Executive leadership and technical direction at The Influencers Lab Ltd, overseeing agency operations, AI infrastructure, client acquisition systems, and multi-agent engineering.
Company Context & Mandate
The Influencers Lab Ltd is a UK-registered marketing and tech agency connecting software brands and devtool companies with technical content creators and specialized influencers.
As Director & Lead AI Engineer, I co-founded and lead the business from Tunisia, managing both executive operations (corporate compliance, agency strategy, client acquisitions) and technical architecture. The mandate was clear: build an AI-native agency infrastructure that replaces traditional manual talent scouting with autonomous multi-agent systems, enabling a lean team to manage high-volume, global creator campaigns.
What I Built
While the primary technical engine powered by our autonomous multi-agent system is detailed in the IMA Case Study, my engineering scope across the agency included:
[ Strategic Agency Leadership ]
│
├──> [ Corporate Operations & P&L Management ]
│
├──> [ Multi-Agent Creator Engine (IMA Pipeline) ]
│
└──> [ Client Delivery & Operational Tooling ]
Client & Campaign Infrastructure
Developed internal management dashboards and custom data pipelines to track creator deliverables, contract statuses, and multi-platform campaign performance.
Automated Lead Intake & Vetting
Built automated web-scraping and API verification pipelines to evaluate influencer engagement metrics, audience demographics, and brand safety compliance.
Technical Integration Consulting
Provided custom technical architecture design for developer-focused clients seeking structured creator outreach and automated workflow systems.
Scope & Responsibilities
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Executive Leadership & P&L
Managed UK company filings, statutory compliance, budget allocations, vendor selection, and agency P&L performance.
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Technical Architecture & Engineering
Led the architectural design and deployment of all internal agency software, including API integrations (YouTube API, Firecrawl) and agent execution environments.
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Client Strategy & Technical Sales
Led technical architecture reviews with clients, scoping custom campaign deliverables and demonstrating AI-driven audience matchmaking.
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Operational Excellence
Designed and documented agency SOPs, establishing automated workflows that eliminated repetitive operational overhead.
Impact & Results
Scaled agency operations to handle dozens of creator campaigns concurrently while maintaining an exceptionally lean team headcount.
Cut creator discovery, vetting, and contact extraction timelines by 85% through custom multi-agent automation.
Delivered high-ROI influencer marketing campaigns for tech and SaaS brands, matching client products with niche, high-converting content creators.
Tech Stack Deep Dive
- Hermes Agent Runtime
- Core CLI agent framework leveraged for custom tool-calling, self-learning loops, and local skill deployment.
- Python
- Principal language for data parsing, API orchestration, and background automation scripts.
- Firecrawl & Web Scraping
- High-speed data extraction tool for scraping creator portfolios, social channels, and media kits.
- YouTube Data API & Social APIs
- Data integration layer for fetching channel statistics, video transcripts, and engagement metrics.
- Next.js & React
- Stack utilized for internal agency portals, client-facing reporting, and campaign dashboards.
Links & Resources
Lessons Learned
- 01
AI-Native Agencies Require Operational Discipline
Autonomous tools are only as good as the business SOPs underlying them. Structuring clear business logic before writing code is critical.
- 02
Technical Leadership Demands Dual Perspective
Balancing API cost optimization and software scalability with P&L margins makes you a far more pragmatic engineer.
- 03
What I'd Do Differently
I would invest in a centralized client-facing reporting portal earlier in the company's lifecycle to automate end-of-campaign ROI summaries.