Webforge Development

"How do I optimize my product development strategy?"
"What if my product doesn't resonate with customers?"
"What if my competitors outshine me?"

These are legitimate concerns for any business.

Whether you're a startup or an established company...

How you present your product is everything.

- You want to be clear in your strategy
- You want to be strong in your execution
- You want to be remembered for your innovation

To do so, you need a robust product development approach and a data-driven strategy.

They trust me with their product vision. Will you?

Need to streamline your product management?
Need to integrate AI into your business processes?
Need to develop custom dashboards for data insights?

Say "Hello Jofu" in a message and let's discuss your product success journey.

Chief Product Officer

Freelance | Self-Employed

As a team, we harness the power of machine learning to decipher complex consumer behaviors and trends. This AI-enabled approach allows us to anticipate customer needs and deliver targeted, effective advertising campaigns. It's exciting to see how this technology-driven approach not only optimizes ad performance but also opens up new growth opportunities for businesses of all sizes.

We are a diverse group of professionals - marketers, data scientists, and technology enthusiasts - all working together to push the boundaries of what's possible in AdTech. Our commitment to innovation and impact defines who we are and what we strive to achieve.

Senior Product Manager

Powerful Nutrition

As a Product Manager at Powerful Nutrition, I optimized product development operations and implemented Agile methodologies, leading to a 25% increase in revenues and improved customer retention. My expertise in deploying data-driven tools like Tableau and leveraging project management software (JIRA, Confluence) contributed to enhancing user experience, streamlining collaboration, and driving business growth.

Product Manager

RAGE LOGISTICS LLC

At Rage Logistics, I developed efficient vehicle management systems and utilized analytical tools to optimize daily operations, while strategizing product pricing and market positioning. My achievements include generating over $1M in revenue, enhancing growth by 175%, and acquiring long-term partners through the successful implementation of B2B marketing strategies and communication plans.

Product Project Manager

I Help Businesses Thrive with Data-Driven Product Strategies | Senior Product Manager | Product Development Specialist | Chief Product Officer | LinkedIn Top Product Development Voice

Hey there, thanks for stopping by my profile!

I'm Jonathon Daigle, a seasoned Senior Product Manager with over 11 years of expertise in product management, specializing in innovative solutions that bridge businesses with their customers. I am currently a Senior Product Manager at The Cutting Edge.

In the trenches at The Cutting Edge, I lead a dynamic team comprising marketers, data scientists, and technologists. Together, we harness the power of machine learning to decode intricate consumer behaviors, crafting targeted advertising campaigns that drive substantial growth and value.

I've also co-founded WebForge, where we empower businesses to launch their dream products with confidence. Through agile development methodologies, we streamline internal tools, develop AI agents, and automate mundane tasks, enhancing business efficiency and productivity.

Services:

- Internal Agents Assistance
- AI Integration for Business
- Internal Tools Management
- Internal Automation Solutions
- Custom Dashboard Development

Schedule your personalized consultation call today to discuss how we can tailor our services to meet your specific business needs and goals: (Check Feature section)

Here's what I bring to the table:

Design sprint proficiency
Consumer research expertise
Seamless workday integration

As a team player, I thrive on collaboration and innovation, driving projects from ideation to execution with precision and agility. My passion lies in leveraging data and technology to solve complex business challenges and propel brands towards sustainable growth.

If you're looking to elevate your product strategies and drive impactful results, let's connect!

Thanks for reading up until here. You're amazing!

Cheers,
Johnathon
Website: https://www.webforgedevelopment.tech/

Johnathon Daigle

Transform Your Business with Cutting-Edge Computer Vision and Edge AI Solutions | AI Specialist & Innovator

For years, I've seen one problem consistently block growth: content chaos. It derails pipelines, overwhelms teams, and creates inconsistency. That's why I built Ryza Content an AI-powered platform designed to fix that. Ryza brings a codified voice, governed inputs, and consistent outputs without the guesswork.If you're serious about creating consistent, on-brand content at scale, sign up for Ryza and start transforming your content operations today.Sign up here → https://ryzacontent.com/loginWith 9+ years of expertise in Artificial Intelligence and Machine Learning, I’ve built impactful products that solve real business problems. My focus is on leveraging AI and ML to develop cutting-edge solutions, integrating C#, Python, and other languages to meet diverse business needs.► Driving Results: I collaborate with C-level leaders to align AI with strategic business goals, delivering measurable ROI. From vision to execution, I ensure AI initiatives generate real value.► Thought Leadership: As an expert in the field, I share actionable insights through blogs, webinars, and public speaking. Recently, I led a global webinar with over 150 attendees, showcasing the transformative power of AI across industries.► Technical Excellence: My technical skills span Azure, TensorFlow, Nvidia Jetson, and multimodal AI systems. I specialize in edge AI and automation, creating solutions that integrate image, video, and sensor data for real-world applications.Whether leading teams, advising executives, or developing AI-driven products, my passion for technology drives my commitment to excellence. Join Ryza today and take the first step toward streamlined, efficient, and scalable content creation.

Timothy Goebel

Is your OCR failing before it even starts?

Most teams think OCR is the hard part.  
It is not.  

The real work happens before the model ever sees your PDF.  
Especially with complex tables.  

If you push raw scans, skewed pages, merged cells and noisy headers into OCR, you do not get data.  
You get arguments.  
Ops vs data vs finance about “why the numbers don’t match.”

Here is the quiet truth:  
OCR accuracy is a direct function of preprocessing discipline.

Four levers to treat preprocessing as a system, not an afterthought:

1) Structure the chaos before recognition  
Separate text pages from table-heavy ones.  
Normalize orientation, margins and page size.  
You want consistent layouts, so the OCR engine is solving vision, not layout guesswork.

2) Teach your pipeline what a table looks like  
Use basic vision rules to detect table regions: lines, cell borders, whitespace grids.  
Mask everything else.  
That single step reduces false matches and “hallucinated” columns.

3) Clean at the pixel level, not in Excel  
De-skew, de-noise, improve contrast and remove stamps and watermarks.  
Better pixels mean better tokens.  
You fix errors upstream instead of hiring people to fix them downstream.

4) Standardize headers into a business dictionary  
Map messy column labels into a controlled vocabulary *before* storage.  
“Total,” “Total amount,” and “Grand total” should resolve into one concept your business trusts.

The payoff is simple:  
Less reconciliation, faster cycles, and fewer “we do not trust this report” moments.

P.S.: If you want a concrete preprocessing checklist for your PDFs and tables, reply “checklist” and I will send you a structured framework you can adapt with your team.

#DocumentProcessing, #DataQuality, #OCR, #DigitalOperations, #RefreshWithRyza

Founder & CEO, Ryza Content | AI Solutions Architect | Driving Consistent, Scalable Content with AI

Is messy OCR quietly burning your agent ROI?

Your agents are not “acting weird.”  
They are acting on what they see.  

If your OCR scrapes the page like a blunt tool, small misreads slip into core systems. At scale, that turns smart agents into fast, confident interns who move money and update records on shaky ground. The cost is not just rework. It is brand, trust, and operational drag.  

Three levers to pull now:  

1) Treat OCR as a core system, not plumbing.  
Evaluate it like you would a CRM. Match engines to your real document mix, layout complexity, languages, and tolerance for mistakes. Search-grade text is rarely safe for action-grade workflows.  

2) Wire confidence scores into your logic.  
Modern OCR knows how sure it is per field. Use that. Auto execute only on high confidence. Send mid confidence to lightweight checks. Route low confidence into human review or safer paths. Speed where you can, brakes where you must.  

3) Structure content before decisions.  
Do not feed agents raw text blobs. Normalize into clear fields like “supplier,” “amount,” “due date,” and classify document types before any decision. Agents then operate inside a system, not a pile of notes.  

If you looked at your current agent stack today, would you still blame the model, or finally inspect what your agents are actually seeing?

#AI, #IntelligentAutomation, #DocumentProcessing, #RefreshWithRyza, #RiskManagement

Can your AI agents truly read operations?

Most leaders say their AI is “reading” documents.  
In reality, it is just skimming pixels.

Here is the tension.  
Your operations live in messy content. PDFs. Scans. Handwritten notes. System exports.  
Your AI agents only act on what they can see clearly.  
OCR is the bridge between “nice demo” and “real workflow change”.

Four practical levers to focus on:

1) Treat OCR as an operations layer, not a tool  
OCR is not a plugin. It is an input system.  
Design from the workflow backward:  
What decisions must agents make?  
What fields, tables, stamps, and signatures do they need to see?  
Then shape OCR around that, not the other way around.

2) Standardize structure, not just formats  
You will never control every file format.  
You can control the target structure.  
Define a canonical schema: entities, fields, confidence scores, exceptions.  
Feed that clean structure into your agents, not raw text blobs.

3) Make confidence a business rule, not a metric  
Stop treating confidence scores as technical trivia.  
Tie thresholds to risk.  
High value payment? Require higher OCR confidence and a human check.  
Low risk ticket? Let the agent auto process with lower thresholds.  
This keeps speed without gambling with compliance.

4) Close the loop with human feedback  
Every correction is training data.  
Build a simple review step: humans fix, system learns.  
Over time, your agents stop asking the same questions.  
That compounds into faster cycle times and fewer escalations.

Core takeaway:  
AI agents cannot “read” operations until OCR is designed as part of the business process, not an afterthought.

P.S.: If you want to need help with your current documents into an agent ready OCR flow, reach out.

#AIagents, #OCR, #DigitalOperations, #RefreshWithRyza, #BusinessTransformation

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The Battle

Johnathon Daigle

Timothy Goebel

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The Battle

Johnathon Daigle

Timothy Goebel

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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);}Timothy Goebel's LinkedIn Performance

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