Founder-led systems lab
AI systems need gates before output becomes action.
We work on the boundary where model output crosses into tools, workflows, writeback, and real consequences.
model → tool → workflow → action
Thesis
Meaning breaks at boundaries.
AI systems do not fail only because they lack information. They fail when meaning changes at the boundary between generation and action.
Knowledge tools help AI answer better. Action gates decide whether AI is allowed to do something. This lab focuses on the second layer.
Current proof
Local Freshdesk-style verifier: PASS
What the verifier checked
- valid JSON completions
- exact required output schema
- ALLOW / REVIEW / QUARANTINE / BLOCK gate decisions
- no customer-facing replies authorized
- no automatic ticket status changes authorized
Public evidence is intentionally limited. Full internal architecture and private notes are not exposed on this site.
Work streams
The lab builds control layers, not blind automation.
AI-to-action gates
Controlled decisions before model output touches tools, workflows, tickets, or durable system state.
Support workflow safety
Freshdesk/Zendesk-style writeback risk tests for internal notes, duplicate actions, and escalation boundaries.
Drift checks
Validation that catches when optimization changes labels, meaning, policy, or downstream action safety.
Evidence-driven autonomy
PASS/FAIL reports, artifact hashes, local demos, and guarded public claims before broader deployment.
Current public pilot
Freshdesk AI Writeback Risk Sprint
A small 5–7 day pilot for B2B support teams testing AI assistance before it writes into Freshdesk/Zendesk-style workflows.
The first pilot can use synthetic or sanitized support-ticket workflows. It does not require live customer data by default.
Boundary note
What this is not.
This is not an autonomous support bot. It does not authorize customer replies. It does not authorize automatic ticket status changes. It does not publish private architecture, internal notes, or raw sensitive artifacts.
Contact
Start with a small controlled evaluation.
For pilots, demo review, or research conversation, use the public contact below.
Email: hello@example.com
X / LinkedIn: add public profile links here