Quote Automation
Incoming requests become checked quotes and PDFs based on your price lists, rules, and past projects. Humans stay in the loop to review and approve.
→ Quotes out the same day instead of next week, with fewer pricing errors.
AI Consulting and Implementation
AI Systems ThatWin Customers
We implement AI systems in your business using agentic coding that pay off quickly. From a Deep AI Audit to a live system in weeks.
We Know the Bottlenecks
Before They Become a Problem
These bottlenecks appear in almost every company that is starting with AI. We detect them early and fix them before they cost time and money.
Information Overload
Tools get tried across the company, but nobody starts with the one process that costs the most time or money. Nothing gets built end to end.
Isolated Pilots
A chatbot in one department never touches the ERP, quotes, or invoices. Pilots that do not read and write real data stay demos.
Lacking Data Quality
Documents, SOPs, and knowledge live in ten places. Most abandoned AI projects fail here, not at the technology level.
No Time Allocated From the Process Owners
The domain experts know the work best and have the least time. Without them, projects are built on assumptions.
No Success Measurement
No KPIs before the project, no measurement after. Nobody can show the ROI, so the next initiative is stalled.
No Ownership After Handover
The vendor leaves behind a black box that nobody in-house knows how to use.
Gartner, 2025
0%
of AI projects are abandoned because the data is not AI-ready
S&P Global, 2025
0%
of companies have already scrapped their AI initiatives
McKinsey, 2025
0%
manage to generate real business value from AI
Deloitte, 2026
0%
actually see revenue growth from using AI
How We Work
Most companies start with a Deep AI Audit. That is the foundation. We offer consulting sessions for specific needs or workshops. Our AI Partner offer is our ongoing support after the initial project.
Our ProcessStructured from the Idea
Structured from the Idea
to the Implementation
Every AI project is custom and unique but our process is proven. Clearly defined phases lead from the first analysis to the Go Live. Weekly status reports and measurable milestones provide full control in every moment.
1
Discovery
20 minutesIdentification of the business processes, decision makers, and systems involved. Assessment whether an audit is the right next step.
2
Audit
1 to 2 weeksDeep analysis of existing processes, data and IT-infrastructure. Identification of AI initiatives ranked by impact and effort.
3
Roadmap
One sessionDevelopment of a custom AI strategy fine-tuned to the company’s goals. Prioritization of initiatives by ROI and relevance.
4
Pilot
2 to 4 weeksStart with a small, controlled proof of concept with measurable results on real data. Validation of the pilot before scaling it up.
5
Implementation
Short cyclesShort loops with coding agents, regular demos, and automated tests. Progress is continuously visible and bugs are caught before they reach production.
6
Optimization
Monthly, pause any timeIntegration into the existing landscape, monitoring, and continuous improvement. Testing under real load, thorough security audits, and performance tracking.
Wall of Love
What clients and the community say.
P
Petra
I hope more people see this post.
S
Sai S.
This is indeed awesome. Will try it few hours and share feedback. At first try, I got 5 languages transcribed with latency of less than 2secs... Impressive :)
M
Mario B.
Very informative, thank you!
Made By Agents has been an invaluable partner in our digital transformation. They helped us identify and implement the exact AI tools needed to automate processes that were previously paper-heavy and prone to human error. They built several of our websites with integrated CMS. Our staff can now manage everything successfully. Every technical question I had was met with high-level competence. It is an exciting time to be working with AI when you have a team like this guiding you.
Christoph F.
Managing Director | Canova GmbH
A
Anonymous
Nice video. Although I'm no tech. I learned a lot.
M
Michael T.
Really great video, hope your channel keeps on helping many more people!
Use Cases
Agentic Coding in the Real World
Practical applications companies use to gain measurable results
OCR and Document Pipelines
Invoices, contracts, delivery notes, and incoming mail are read, validated, and booked into your systems as structured records. Exceptions are routed to a human.
→ Hours of manual data entry removed, with a traceable source for every record.
Corporate LLM and Knowledge Bases
Turn your docs, wiki, tickets, and emails into a private AI assistant your team can ask in plain English. Answers cite their sources and respect existing permissions.
→ Answers in seconds instead of hours of manual searching, with the source attached.
Dashboards and Controlling Tools
Live numbers from your ERP, CRM, and finance tools in one internal application. Built as software your team owns, not a static spreadsheet export.
→ Decisions based on current numbers instead of stale reports.
Multi-Agent Systems
Autonomous agents for sales, support, ops, recruiting, and finance, built alongside your domain experts. Every action that leaves the company is approved by a human.
→ Recurring work runs on its own while your people focus on high-value tasks.
Agentic Workflows in Existing Software
Agents that draft, route, and file work inside the tools you already use: CRM, ERP, ticketing, and email. No new interface to learn.
→ Adoption from day one, because it is integrated into the tools your team already uses.
AI-Native Apps
Custom mobile, web, and desktop apps with AI features built in from day one. Hardened with tests and deep security reviews.
→ A product your customers actually want to use. ROI in months, not years.
AI Dev Workflows
Modern AI coding agents set up in your repo, plus workshops that turn your team into confident AI users.
→ Your engineers ship faster and cleaner within the first sprint.
Legacy Migrations
Move off proprietary vendors and outdated stacks onto modern open source. Coding agents handle the repetitive rewrite, your team reviews the result.
→ Lower license costs and a stack your team can fully customize.
Integrations
Works With Your Existing Stack
Every AI system we build connects to the tools your team already uses. CRM, ERP, email, chat, documents, payments and ticketing. No migration, no new software to learn.
Tobias Wupperfeld
Founder of Made By Agents
More than 5 years of AI development experience
Tobias is a software engineer with a passion for AI. He has built AI systems for startups and international companies and shares his work with thousands of builders on YouTube.
- Agentic Coding
- AI Strategy
- Web and Mobile Apps
- AI Agents
- Document Automation
- Knowledge Systems
For Builders
Free Tools and Data We Maintain
The live data and calculators our team uses when working with AI, free for you to use. Benchmarks, model and API prices, GPU costs, hardware fit, and agent frameworks, updated continuously.
AI Hardware Directory
Compare GPUs, edge devices, TPUs, and more. Real specs, real benchmarks, and a built-in calculator to match hardware to your AI workloads.
Hardware Calculator
Enter your hardware specs and discover which AI models run best on your setup. Match GPUs, edge devices, and accelerators to compatible models based on real performance data.
AI Hardware ROI Calculator
Compare the total cost of running AI locally versus paying for cloud APIs. Find your break-even point and see long-term savings with an interactive amortization chart.
AI Workstation Builder
Tell us your budget, what you want to run, and your software stack. We match you to a hand-checked parts list and a pre-built option, side by side.
GPU Rental Price Index
Live cloud GPU rental prices across multiple marketplaces. Find the cheapest H100, A100, or RTX 4090 right now and see which models fit each card.
AI Hiring Index
How many AI engineer, ML engineer and MLOps roles are open right now in the US, UK and Germany, and what they pay. A read on where hiring budget is actually going.
AI CapEx Tracker
Quarterly capital spending at Microsoft, Alphabet, Amazon, Meta, Nvidia and Oracle, pulled straight from their SEC filings. See who is building fastest and what share of revenue it takes.
Self-Host vs Rent vs API
Decision tool that compares buying a GPU, renting one in the cloud, and paying per token across the leading APIs. Powered by live OpenRouter and GPU rental prices.
AI Model Rankings
Open-source AI models ranked by benchmarks, popularity, and hardware efficiency. Compare models, check VRAM requirements, and find the best model for your GPU.
Live AI API Price Tracker
Live per-token pricing for 200+ hosted AI models across OpenAI, Anthropic, Google, and more. Sort by input, output, or blended cost. Refreshed hourly from multiple providers.
AI Model Treemap
A live treemap of the most downloaded open source models on Hugging Face this month. Tile size shows downloads, color shows the trend. Embed it on your site with one click.
Open vs Closed AI Gap Tracker
See the score gap between open-source and closed-source AI models across every text benchmark. Sorted lowest to highest, color-coded so the gap is obvious at a glance.
AI Benchmarks Library
Plain-language deep dives for each of the 11 datasets we score AI models on. Top scorers, score distributions, lab averages, and benchmark-to-benchmark correlations.
AI Stack Status Tracker
Live status and recent incidents for OpenAI, Anthropic, Google AI Studio, xAI, and Cursor in one place. Refreshed every 5 minutes, with an aggregated RSS feed and a banner when more than one vendor is hit at once.
Agent Frameworks Directory
Every notable agent framework, ranked by GitHub stars, downloads, contributors, and capabilities. Filter by language, license, and feature flags.
Compare Agent Frameworks
Pick two or three frameworks and see stars, downloads, capabilities, and trade-offs side by side. Share the link to revisit the comparison anytime.
Agent Cost Calculator
Estimate per-task and monthly cost of running an AI agent on your workflow. Workflow-aware math with framework overhead for LangGraph, CrewAI, Mastra, and the OpenAI Agents SDK.
Agent Benchmark Leaderboard
Live rankings of AI agent systems across GAIA, SWE-bench Verified, Tau-Bench, SciCode, USACO, and more. Filter by model, framework, and agent type, and embed the top three anywhere.
Inference Engines Directory
Every notable engine for running LLMs locally and in production, ranked by GitHub stars, downloads, and capabilities. Compare vLLM, Ollama, SGLang, llama.cpp, and more by hardware and license.
Compare Inference Engines
Pick two or three engines and see stars, downloads, capabilities, and trade-offs side by side. Share the link to revisit the comparison anytime.
Desktop AI Apps Directory
Every notable desktop app for chatting, coding, running agents, and fine-tuning on your own machine. Live GitHub stars, release downloads, platform support, and the engines and models each one runs.
Compare Desktop AI Apps
Pick two or three desktop apps and see stars, release downloads, platforms, capabilities, and trade-offs side by side. Share the link to revisit the comparison anytime.
AI Insights
Latest Articles
Practical guides on agentic coding, AI agents, and the tools we use to build production systems.
Free Resources
Deep-Dives on YouTube
How the work gets done, in public. Full builds, tool comparisons, and agent systems, recorded step by step.
The AI Build Report
Free every month, straight from our live trackers.
See which models lead, where API prices moved, and what to run locally vs on an API. Plus The Agent Roundup, our weekly note for AI builders.
