AI agent reliability
Fixed invalid-JSON failures, hardened request–response handling and removed cascading error pop-ups.
Try “KYC”, “Bedrock”, “Claude”, “insurance” or “ISO”.
Case study · Data Privacy / Web3 / SaaS
Skugal hardened DebitMyData’s AI agents, onboarding and payments so a Web3-enabled personal data platform works reliably for real users.

The challenge
As DebitMyData moved toward real users, reliability issues threatened trust: agents failing silently on invalid JSON, broken save flows, login and wallet-connect friction, verification email landing in spam and manual Stripe updates.
The solution
Skugal worked with the team to stabilise core journeys, from signup to AI interaction and payments, focusing on dependability rather than new features.
Fixed invalid-JSON failures, hardened request–response handling and removed cascading error pop-ups.
Made sure updates, including voice settings, actually persist and no longer crash on refresh.
Resolved first-attempt login failures, unblocked wallet-connect signups and improved email deliverability.
Prepared automated subscription handling to replace manual Stripe updates.
How it works
Business impact
DebitMyData became a production-ready system where signing up, using AI agents and managing settings work consistently, ready to onboard users and scale monetisation.
Technology
Owning your data only matters if the platform behind it is reliable.
Next step
Tell us about the workflow or product. We’ll come back with an architecture, a delivery plan and where AI agents fit.