What you get
- A C# worker program that runs 24×7 on your server or PC and works through your task list (queue) on its own
- Connection to ChatGPT / other AI models – every request recorded so nothing is sent twice or lost
- An independent AI quality check on every result; failures are fixed automatically or sent to a person
- Automatic recovery after a restart, internet drop or AI usage limit – it continues from the last good result
- Browser automation for portals without an API (fill forms, upload, download)
- A dashboard and logs: what was done, what is waiting, what failed and why
Examples for your business
Coaching institute
Solutions and diagrams for 10,000 questions generated and checked by AI.
E-commerce store
Descriptions, titles and images for thousands of products.
Office / accounts
Data read from PDFs and invoices and entered into Excel or your software.
Customer support
Instant answers to common WhatsApp and website questions.
Management
Daily reports prepared by AI and emailed every morning.
What we build
- LLM workflow agents – multi-step pipelines that prepare a prompt, send it, verify the reply against a strict contract and only then save the result.
- Browser automation – reliable control of web apps through Chrome DevTools/Selenium, with session recovery, upload checks and duplicate-send protection.
- Self-healing job queues – SQL Server backed workers that retry from the last good state, release stuck jobs and keep going after a reboot.
- Quality-control loops – an independent AI review step that checks every output (text, layout, images) before it is accepted.
- Monitoring & watchdogs – live status, logs and automatic restarts so production keeps running overnight.
Why our agents are dependable
Most AI demos break on the second day. Ours are built like production software:
- Every request is recorded before it is sent, so nothing is sent twice and nothing is lost on a crash.
- Clear retry rules: a few attempts, then restart from the last known good result – never an endless loop.
- Account and rate limits are detected; the agent keeps doing work that does not need the limited resource.
- One code base for Windows and Linux, deployed to several machines and accounts in parallel.
Typical use cases
- Bulk content generation with review (education, product catalogues, reports).
- Data extraction from PDFs, scanned papers and web portals into structured databases.
- Back-office automation: form filling, report downloads, reconciliation.
- Customer messaging assistants on WhatsApp and the web.
Frequently asked questions
Which AI models do you work with?
ChatGPT (OpenAI), Claude and other LLM APIs, as well as browser-driven ChatGPT workflows where an API is not available. The agent design stays the same whichever model you use.
Can the automation run without supervision?
Yes. Our agents run as background services with watchdogs, retry rules and automatic restart after a reboot, and they log every step for later review.
What technology do you use?
Mainly C# on .NET 10 with SQL Server, Chrome DevTools/Selenium for browser control, and PHP/Laravel where a web front end is needed.