Experiment Two: Tablero

In our ongoing pursuit of market fit, we optimize for quick learning and fast product experiments. Some experiments are conducted quietly using various test methods. However, the ones that show real promise and potential to become portfolio companies are launched publicly for actual users to try out.

If you follow our journey, you might remember Jane, our first public product experiment. Jane has been continuously onboarding new users and preparing for an open release soon. Now, it’s time for another product experiment to debut: Tablero.

 

Introducing: Tablero

Tablero is a bookkeeping tool designed for modern business owners. It is set to transform how businesses handle bookkeeping tasks by using AI agents to integrate automation into everyday business processes, eliminating the hassle of manual bookkeeping.

It originated from an internal pain point at Ryft. At the end of every month, Alex from Finance would message me, chasing all the invoices from subscriptions I needed to send him. Alex hates chasing me for it. I hate being chased for it. This is a common issue for SMEs. Most business owners and finance professionals from SMEs spend countless hours on small admin tasks like this.

It seemed like the perfect problem for us to solve with our in-house capabilities, built on our Large Action Model (LAM) designed to drive automation across our product experiments and future startups.

Tablero leverages this technology to automate invoice processing, expense tracking, account reconciliation, and more. This automation saves time and ensures accuracy, helping business owners manage their finances.

 

Agentic Behavior Capabilities

Agentic behavior is all about AI systems acting on their own, making decisions, and getting tasks done with little human input. Our Large Action Model (LAM) backend is built to make this happen across different apps. Its modular design lets us:

• Integrate various SaaS products and apps to work together seamlessly using ‘function calling,’ with an LLM that schedules and coordinates tasks based on user needs.
• Tap into an entire and growing ecosystem of LLMs, ensuring our products improve as companies compete to enhance LLM capabilities.
• Focus our time on user experience and UI for differentiation. Users won’t prompt for themselves; our agents need to be able to show, not tell, anticipate the prompt, suggest, or initiate an action given the context.

With these capabilities our goal is to keep spinning off product experiments solving problems across multiple verticals, starting with Jane.

 

A few more experiments to come soon

Building Tablero has been about solving real problems quickly. By launching Tablero, we’re addressing a significant pain point for business owners and demonstrating the power of automation. We’re thrilled to open early access to Tablero this week and are eager to continue enhancing its capabilities to simplify bookkeeping for businesses.

To join the waiting list, visit Tablero