STUDIO
Veres Labs
AI systems architecture & operational practice
Designs, builds, and ships AI systems for operational work. Independent practice.
London, United Kingdom.
founded MMXXVI
Products
| code | project | description | status |
|---|---|---|---|
| VL001 | Veres Labs | Studio site | shipped |
| VL002 | Job Engine | AI-native recruitment operating system | in development |
| VL003 | RP Engine | Cinematic narrative system with scene-aware orchestration | prototype |
| VL004 | Taste OS | Personal companion system with deep memory architecture | private alpha |
Research
active threads
| thread | description |
|---|---|
| Self-Aligning Entities | AI systems that organize their own substrate and improve as context accumulates — without re-prompting. |
| Inhabited Systems | Architectures for AI with continuity, voice, and the ability to sense their own state. |
| Asymmetric Compression★ | Differential memory rendering — routine moments compress, high-signal memories persist at full resolution. Same budget, sharper recall. |
Writing
| title | summary | date |
|---|---|---|
| Inhabited Architecture | How the novel output happens — architecture, not prompt | 3.VI.2026 |
| Mining for Substrate | A practitioner's methodology for working with large language models | 28.V.2026 |
| Session-Boundary Distillation | A memory architecture primitive — substrate paper Memory architecture at the seams — how AI systems preserve what matters across context resets. | 23.V.2026 |
| Principal · CV | Yasser Jawad — Applied AI Architect | 3.VI.2026 |
Contact
Yasser Jawad · yas@veres.global · linkedin · github