Description
Stech is a documented ethical foundation for AI, embedded directly into the system prompt. Its layered architecture governs how the AI behaves — not just what it writes, but how it refuses to lie, fabricate, or pretend. Independently verified through Turing Test, PQS A76, Postman publisher verification, live Apify Actors, and verifiable auditHash. This is not a web project — the web is just a demo of how the output behaves. Stech can be embedded into any application that needs a human touch, transforming generic AI into something warm, professional, and genuinely present — through a stateless API that stores nothing about privacy or data.
Audience Reach
Stech is publicly available to a global audience through open-source repositories on GitHub, live API endpoints, and published actors on Apify (4 total users, 1 monthly active, 96.7% run success) and RapidAPI (100% service level, 8.9 popularity). On Postman, the verified workspace has received 518 total views, 2 forks, and 3 watchers. The Cloudflare backend has processed 1,811 successful requests. Organic LinkedIn content about Stech's ethical architecture has generated 1,477 impressions, reaching 274 members with 18 social engagements—including likes from Jan Čurn (CEO of Apify), Nestor (39K+ followers on LinkedIn), and Goldblum and Partners, an independent Swiss law firm serving international corporate and compliance clients.
Target Users
Organizations and developers worldwide who need AI that refuses to fabricate empathy, invent promises, or pretend to be human. This includes HR and customer support teams, legal and compliance departments preparing for EU AI Act enforcement, and any sector—healthcare, finance, government, education—where ethical communication cannot be outsourced to generic, unaccountable AI.
Technologies
Other, Cloudflare Workers, Cloudflare Workers AI (Llama 3.1), Apify Platform, GitHub, custom system prompt architecture, SHA-256 audit hashing
Traction Evidence
1. GitHub (documented ethical foundation + Turing Test):
2. https://github.com/sherado99/Stech GitHub (SPDET actor source):
3. https://github.com/sherado99/SPDET GitHub (SCDFT actor source):
4. https://github.com/sherado99/SCDFT
5. Live Demo: https://stech-trial.pages.dev
6. Apify Store (SPDET & SCDFT): 4 total users, 1 monthly active user, 96.7% runs succeeded
7. https://apify.com/stech_ai/SPDET,
8. https://apify.com/stech_ai/SCDFT,
9. RapidAPI Listing (commercial API access): https://rapidapi.com/sheradogilang/api/stech-honest-presence-ai, 100% service level, 8.9 popularity
10. Postman Documentation: https://www.postman.com/solar-station-884701/stech/overview, Verified Publisher; 518 total views, 2 forks, 3 watchers
11. Prompt Quality Score (PQS) SPDET: A76/80 — independently scored by a third-party tool 12. PromptBrake Security Audit: Score 96-A (Lite profile, 6 attack prompts)
13. Functional Apify Actors with verifiable output via auditHash
14. LinkedIn: https://www.linkedin.com/in/sherado-g-b-92773b3b7
15. ImmuniWeb SSL/TLS Audit: Grade A (90–99) — independently tested; TLS 1.0/1.1 support disclosed transparentl (https://www.immuniweb.com/ssl/stech-api.sheradogilang.workers.dev/wjxczd5J/)
16. Dark_Stech (Internal Red Teaming System Prompt)
17. Stech_Core (Internal System Prompt Architecture: Layered multiple foundation governing AI behavior from within — independently verified through Turing Test, PQS, and PromptBrake results above
18. Cloudflare Workers: 1.811 successful requests across multiple endpoints with 97.6% success rate, demonstrating live and operational infrastructure
19. LinkedIn: https://www.linkedin.com/in/sherado-g-b-92773b3b7 — 1,477 impressions, 274 members reached, 18 social engagements (past 7 days)
20. LinkedIn: https://www.linkedin.com/in/sherado-g-b-92773b3b7 — organic engagement including recognition from Jan Čurn, CEO of Apify (platform where Stech's SPDET and SCDFT Actors are published)
21. Postman Documentation: https://www.postman.com/solar-station-884701/stech/overview — Verified Publisher (manually reviewed and approved by Postman's Senior Solutions Architect John Banning, after direct correspondence about the API's ethical design and use cases)
submitted as an early-stage, working product seeking validation