Presentation generator
Turns outlines, spreadsheets and reports into PowerPoint presentations in your company's look, ready to edit.
from US$ 450
WaitlistAI That Never Makes Up Numbers
AI That Never Makes Up Numbers | PDF e-book
Deploy AI for financial documents without hallucinations or calculation errors
Not on sale yet. People on the waitlist hear about the launch first, with no obligation to buy.
In short
Deploy AI for financial documents without hallucinations or calculation errors. Built for developers building AI solutions for finance, tax, and operations, technical leaders responsible for deploying AI in regulated environments and analysts needing to automate document reading without compromising data integrity. It is not on sale yet and the waitlist is open; the price is US$ 19.
- Status
- Waitlist
- Price
- US$ 19
- Updated
01The problem
Manual data entry from scanned PDFs, photos, and spreadsheets creates bottlenecks and risks. Errors in reading or typing numbers lead to rework, fines, and financial loss. Developers often rely on AI APIs that generate plausible but incorrect values, which is unacceptable in regulated sectors like auditing and finance.
02The solution
This guide distills the principles the author applies every day building and running an LLM-assisted audit platform in production (no employer code or data included). It teaches you to extract text from unstructured documents using OCR and LLMs, then strictly separate that reading step from the calculation step. You will learn to implement a deterministic oracle that recalculates values and blocks incorrect mappings before they enter your system, ensuring accuracy regardless of the AI model's output.
03How it works
-
Instant access
After checkout you get the link to download the files.
-
At your own pace
Read on any device and come back to the checklists when you need them.
-
Apply it to your case
Every chapter ends with a checklist you can use at work.
04What you gain
Extract data from scanned PDFs, images, and CSV files without the AI inventing numbers.
Build a deterministic validation layer that recalculates totals and vetoes wrong mappings.
Implement local embeddings and RAG to process sensitive data without sending it to the cloud.
Create agents with tool-calling to verify dates, registries, and business rules automatically.
Organize a cost cascade using local models for sensitive tasks and cloud models for others.
Integrate the pipeline with your destination system and generate exception panels for human review.
05A look inside
06What's included
- PDF e-book (7 chapters, 44 pages)
- Companion slides (editable PowerPoint and PDF)
- Ready-to-use checklists
- Free updates to this edition
Free materials
07Who it's for
- Developers building AI solutions for finance, tax, and operations.
- Technical leaders responsible for deploying AI in regulated environments.
- Analysts needing to automate document reading without compromising data integrity.
- Teams managing unstructured data like invoices, contracts, and scanned reports.
08Price and terms
Price
US$ 19
Expected price: purchase is not open yet. Contact us to request access.
09Frequently asked questions
Is this a video course?
No. This is a text-based e-book containing 7 chapters and 44 pages. It does not include video modules, live meetings, or a community.
What is the technical level?
Intermediate. It assumes you know how to call an AI API but teaches you how to structure the surrounding code for accuracy.
Can I use this for my current employer?
Yes. The concepts are general. However, do not use code, data, or screenshots from your current employer in your own products.
Does it promise financial results?
No. The book focuses on technical architecture to prevent errors, not on generating revenue or specific financial outcomes.
What formats are included?
You receive a PDF e-book, editable companion slides, and ready-to-use checklists.
Are there updates?
Yes, free updates are provided for this edition to keep the technical content current.
Who builds it
Osney A. de Souza
AI engineer · Joinville, Brazil
Five years of software development and AI systems in production. The person who handles your project is the one who designs it and writes the code.
- Runs an AI-assisted audit platform in production, backed by thousands of automated tests
- License plate recognition with deep learning for large-scale video monitoring
- Software Engineering student (Univille, expected 2027)
Waitlist
Join the waitlist
You'll hear from us at launch and, before that, only with relevant news about this product. No obligation to buy.
Send an emailjuniorthesouza017@gmail.com
Message on WhatsApp(47) 98864-2296
Send a message with the product name. We'll let you know at launch, with no obligation to buy.
Other products
PLC and HMI data collector
Automatic collection of the logs PLCs and HMIs already produce, sent to a cloud database with a production dashboard, without new equipment. It's in a pilot program: the first deployments are closely accompanied.
from US$ 1,200
NeuroCNC
A lab prototype, not yet tested on a real machine: it combines part measurements, tool changes and CNC telemetry to suggest compensation, applied only with operator approval. We're looking for the first partner company for a pilot.
from US$ 1,900