AgenCFO

Reporting & Fractional CFO Services.

We provide a range of financial services to fast-growing agencies. The typical clients we work with can be described as “visionary entrepreneurs”; they know where they want to go and have the business acumen to get there. 

All they need is a trusted partner on their side who takes care of the numbers, keeps their operation lean, and helps them maximise their ROI.

Founder & CEO

More Than Scaling

Fractional CFO

Scalable CFO

Accelerate your growth with expert CFO support—from accurate budgets to high-impact financial strategies, we help entrepreneurs scale their businesses.

Standard Chartered Bank

Credit Analyst responsible for the coverage and credit risk assessment of European corporates and global subsidiary companies.

• Produced comprehensive reports based on financial performance, risk factors, industry outlook and the threat of competition in order to determine the creditworthiness of corporate clients. 

• Met with companies and worked closely with the Relationship Managers as part of periodic reviews, new onboardings and the deal closure process. 

• Produced in-depth financial models and forecasts in order to better understand company structure and potential future performance. 

• Presented analysis and liaised with Credit Risk Officers in order to approve lending to companies.

Associate Credit Analyst

DBRS Morningstar

Responsible for creating and maintaining cash flow models for key structured finance transactions in order to assign a credit rating. 

• Performed sensitivity analysis and stress tests for each cash flow projection to understand possible cash dynamics over time. 

• Liaised with senior management and lead analysts in order to resolve and discuss legal documentation and to set the final credit rating.

Credit Rating Analyst

Kempen Capital Management

Produced sector recommendations to be used in the investment strategies for private banking clients. 

• Determined the outlook for a range of sectors in Europe and the US through the use of Bloomberg, financial models and industry experts.

• Developed a program in Python monitoring the risks and trends for the selected sectors to be used for the recommendation.

Investment Research Intern 

bloomon

Worked in a fast-growing flower delivery business to identify inefficiencies in the information processes.

• Developed a tool with Google Scripts and Python to provide insight into the flower buying process (supplier availability, quality and cost).

• Visited flower growers and the manufacturing facility to better understand the business operations.

Process Improvement Intern

Ahold Delhaize

Converted to full-time, continuing to work with the Project Manager and further support the Supply Chain Director in order to seek out cost efficiencies in the logistical processes.

Project Management

• Worked with the Project Manager to support the planning and execution of new and existing projects
• Visited stores and liaised with store managers to understand and improve the logistical processes

Project Management Intern

Germaco B.V.

Germaco is a Dutch, family-owned, tulip grower that started in 1988. Over the years it has grown to a large-scale enterprise with 190 hectares of fields and a capacity of over 100 million tulips a year.

All-round Employee

Founder & CEO of AgenCFO, providing fractional CFO services to fast-growing Agencies; with a core focus on improving profitability, supporting growth and saving time and energy by taking full ownership of the finance function.

Former Financial Analyst, analysing multi-billion dollar companies like Accenture, Coca Cola and Mercedes-Benz.

Joey de Wit

Alejandro Dinsmore

Zippy

Staff Product Manager

Senior Product Manager

Founding Product Manager - 1500% increase in Loan Volume in 2023. 

Working on B2C and B2B initiatives across the business.

Product Manager

Thrive

Founding Product Manager for Thrive Pulse - 0 to 30,000 WAUs in six months

Product Manager for:
- Thrive Pulse
- Thrive for Chat (Slack and Teams)

THE ENDLESS CO.

Managed projects ranging from a mobile app for Covid-19 diagnostics to an augmented reality sneaker activation. Helped prepare pitch materials for new projects and clients.

Strategy and Product

eevo, Inc.

Built and launched virtual reality experiences for customers like Merck, Zoom, Logitech, McKinsey and The BBC.

AlphaSights

I worked predominantly with management consultancies and institutional investors - communicating daily with senior professionals and executives in early stage industry research, due diligence, and M&A processes, worldwide across all industry sectors.

Analyst

Sisasa Inc.

Co-Founder

MIT D-Lab

Funded by MIT D-lab, worked specifically on solarclave project in Nicaragua.

Solarclave Medical Device Intern

Finding ways to live a better life through intentional work.

Founder (raised 2M in funding) | Early-stage Product Manager  (0-9M ARR) | Forbes 30u30 (not in jail)

Gemini 3 was just released! There was a lot of hype and rumors but I was not expecting Google to 2x the previous best score on ARC-AGI 2 (historically one of the toughest benchmarks out there)

Here's a bit more context on why this is a big deal:

ARC-AGI-2 is designed to stress test the efficiency and capability of AI reasoning systems, and provide useful signal towards AGI.

Pure LLMs score 0%

AI reasoning systems score only single-digit percentages (until recently)

Google's Gemini 3 just scored 45%, more than doubling the previous best of ~18% (from OpenAI's Pro model)

For all the "LLMs are plateauing" "New models aren't getting better", feels like progress is only accelerating.

Staff Product Manager | Fintech & Ai | Forbes 30 under 30

Wow Google is on FIRE this week. They just released a major update to NotebookLM and the new slide functionality is incredible!

Turn your sources into a detailed deck for reading OR a set of presentation-ready slides. These are fully customizable too so you can easily control the look, feel and content.

Check out this presentation it made from one of my sources. 

It took two minutes and for educational purposes I'm posting the version it created with zero edits.

What do you think? Does it look like slop or is AI finally getting good enough to handle building out decks?

Creatingyourfirstagent

Harnesses are the new application layer for AI.

Just recently Poetiq became the first team to surpass the 50% accuracy barrier on ARC‑AGI‑2 and they did it by building a Harness for Gemini 3. 

They used the exact same LLM, all they did was update the scaffolding and steps the model takes to solve the problem set. 

This refinement (which they open sourced) improved performance on ARC-AGI-2 from baseline 31%, $0.81/task up to 54%, $31/task.

That's a HUGE jump in performance and efficiency just from providing better scaffolding. 

I've been really excited about the opportunity to build scaffolding around existing models so it was cool to see a team execute on this opportunity so effectively. 

A harness I've been experimenting with for a while is one to help make AI writing sound more natural, check out the video below for a full overview and intro to harnesses and how you can make your own using tools like OpenRouter, Inc.

Starting to wonder what interviews will look like in 12 months.

Poetiq scored higher than Google on ARC-AGI II and they did it using Google's own model

Google solved these visual puzzles with Gemini 3's unmodified test-time reasoning (costing $77 per problem)

Poetiq beat them (54% vs 45% accuracy) by building a better harness around Gemini 3 that scored higher but was also cheaper at $30/task

They added intentional scaffolding for the LLM to write a Python script to solve the grid instead of predicting the answer textually. 

Since the output is code, it's verifiable. 

The system runs the generated script against training examples, catches bugs, and lets the model fix its own code locally before committing to a final answer.

The exciting part is that harnesses like these are generalizable. Methods that work to improve Gemini 3 performance on ARC AGI can be applied in other domains. 

This is the new frontier.

Poetiq's Approach

New Google research paper just dropped (it's a fun one)

"Introducing Nested Learning: A new ML paradigm for continual learning"

Another attempt to apply neurophysiological patterns to LLMs 

Their big argument: 
1. Human memory = two systems (short and long term)

2. There is an active process in the brain that transfers/consolidates short term memory to long term

3. Anterograde amnesia = consolidation process is broken (no change in long term memory)

4. Current LLMs have anterograde amnesia, they only have short term memory (attention) 

5. Long term memory is locked in pre-training 

6. Nested learning uses a series of nested "modules" that operate on different time scales and context, essentially enabling the consolidation of short term memory to long term memory (learning)

OpenAI just dropped a 20 page guide on "Building an AI-native
engineering team". 

It's worth reading the full thing, but I've also been really loving using the new Google image model to create visual summaries of articles to keep for future reference.

Here's an example output based on the full 20 page guide:

taplio

The Battle

Joey de Wit

Alejandro Dinsmore

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Performance ScoreAlejandro Dinsmore's LinkedIn Performance

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taplio

The Battle

Joey de Wit

Alejandro Dinsmore

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Alejandro Dinsmore's LinkedIn Performance

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Performance ScoreAlejandro Dinsmore's LinkedIn Performance