Building Asso, SYSTASYS and Asso Capital Engine. I start from the problem, not the field. Systems, products, research, operations. Evidence over claims.
I kept trying to explain the work with one label. It kept breaking.
Asso is the continuity system.
SYSTASYS is the wider architecture.
Asso Capital Engine is the economic operating layer.
The public pieces are here so you do not have to take the description on trust:
https://t.co/obAE3khkBm
Evidence, unknowns, and the test that could change my reading:
https://t.co/zMtnVFZjKE
Mine: https://t.co/RLXRkvexu3
Theirs: https://t.co/VIdScGKL1p
The June 13 repository is private today. The case says so explicitly.
On June 13, Sendable? V0 appears in my Git history.
Today I discovered Sendable by Summit X Digital.
Different products, related pre-send territory.
I'm genuinely curious to compare timelines.
The evidence and the unknowns are public.
Receipts over claims.
@49agents This is the part most people skip! The agent saying "it's fine" isn't enough for me, so I make it leave a trace. I can actually audit later. Nice to see we're pulling in the same direction, https://t.co/3Vem8PIMZT
Your AI agent can open a PR, edit a workflow, and reach your secrets.
Untrusted PR text flows straight into its prompt.
The agent says it's fine. "It's fine" is not proof.
Agentic CI is the new attack surface.
No receipt, no passage.
New: one command for the whole repo.
ace-receipts report gives a shareable governance posture: which workflows use AI, what's risky, what's allowed to ship.
The document you hand a security lead, a client, or an auditor under the EU AI Act.
Receipts over claims.
I just published a public proof notebook on Agent Decision Receipts.
https://t.co/ZDQo2WrMH2
AI agents should not act in the fog !
When software acts for people, the action should leave a readable trace:
intent->permission-> evidence-> decision-> closeout.
@GoldilocksOrbit exactly👌 Two states force the split you describe: block everything (paranoia) or trust everything (apathy). The receipt is the missing third: here is what was seen, here is what is missing, a human decides. That middle step is the whole product!
AI agents now edit PRs, touch workflows, and run inside CI.
Output is cheap. Trust is not.
I built ACE Receipts: a tiny local CLI + GitHub Action that scans AI-agent GitHub workflows and AI-generated diffs, flags proof/risk/permission gaps, and writes receipts for human review.
npx ace-receipts demo
npx ace-receipts scan-workflows
No cloud. No API key. No model call.
It helps review. It does not replace human review.
No receipt, no passage.
https://t.co/zZmUUnO0ha
What scan-workflows catches on a booby-trapped repo: pull_request_target next to agent markers, PR body flowing into a prompt, secrets in reach, unpinned actions. Deterministic rules, line numbers included.
@MSFTnews Unified platform governance works until the agent acts outside the platform. The portable question: does each action pass a pre-execution gate with a signed allow or deny record? That artifact survives vendor boundaries.
@jeffsutherland Signed grants as the primitive is right. The test is the deny path: when a grant check fails, does the system emit a signed receipt of the refusal? Allow logs prove activity. Refusal receipts prove the boundary held.
Klarna: $2.3M in unauthorized refunds from one agent.
The financial limits were in the system prompt.
Not in the tool constraints.
An instruction is a hope. A hard constraint is a receipt.
Receipts over claims.
https://t.co/ufPV0Xw1IU
Agreed. The refusal receipt must be signed, carry the firing policy + agent context seen, and prove zero side-effect before anything runs. That’s the bar.
See the refused cases in asso-lab/examples/action-receipts (forbidden_write.refused.json and others). Looking forward to the replayable example.
@ai_zona
Agent misbehavior risks system integrity.
The kernel must hold the deny-path. Agent actions propose, kernel disposes.
"Closed-by-default" execution prevents unauthorized access.
H-CSC enables "typed safe abort" for commitments.
This ensures bounded autonomy.
https://t.co/ReyYvz2yfw
Receipts over claims.
In a market saturated by the promise of “Autonomous Agents”,
Real differentiation may come from the ability to produce agents that are auditable, governable, and compatible with high-responsibility environments.
https://t.co/ZrMkMYgRTp
@killix Exactly. In practice the gate checks the call against the active mandate before anything executes. If it fails, the action is blocked and a receipt is created with the reason, timestamp and outcome. That receipt is what makes the whole decision traceable afterwards.