TensorBundle Blog
What we learn from the problems we work on.
We write about artificial intelligence, mathematics, and software. We also share what we learn while turning research into useful systems.
How Much Does an AI Agent Cost? It Depends on What You Let It Do
AI agent projects can cost $8,000 to $250,000 or more. Estimate how permissions, integrations, exceptions, data readiness, and oversight affect the budget.
AI Token Economics: What You Pay, What It Costs, and Who Covers the Difference
AI tokens keep getting cheaper, but production workflows can still cost more. See how credits, retries, agent loops, and human review change the cost of an AI task.
How Much Data Do You Need to Fine-Tune an LLM?
Find practical starting ranges for supervised LLM fine-tuning, then estimate dataset size from task scope, case coverage, model capability, and evaluation.
How to Tell Whether an AI Partner Understands Your Business
The questions and conditions behind an AI proposal reveal whether the partner understands the business well enough to recommend what to build.
Starting is easier. Finishing is still hard.
AI makes drafts and prototypes cheap. The advantage moves to organizations that can choose the right work, stop the rest, and finish what matters.
You're not doing AI. You're doing integration.
Most AI projects depend on integration. Company data, business rules, human review, and workflow design turn a capable model into a useful product.
Nothing was built to answer your exact case
A proven AI method can still fail on your data and workflow. Testing shows whether published evidence transfers to your specific constraints.
Perfect on paper, wrong in practice
Strong AI evaluation scores can hide production failures when the chosen metric does not reflect business risk, user outcomes, or operational cost.
You are not choosing a model. You are choosing a theory.
AI model architecture shapes what a system can learn and where performance plateaus. Prompting or more data cannot fix an architectural mismatch.
Don't hire a genius to do a calculator's job
An LLM can be the wrong tool for a narrow business task. Deterministic software may be faster, cheaper, and more reliable when the rules are clear.