amrah09

[amrah09 @amrahrahmanoff]

@Ta_da_io Gm

[Ta-da @Ta_da_io]

gm. Most agent projects die in the gap between the demo that impressed everyone and the first quiet week when nobody was watching the output. The boring middle is where production gets won.

[amrah09 @amrahrahmanoff]

@Ta_da_io Human review is still essential.

[Ta-da @Ta_da_io]

The next bottleneck is not agent capability. It is how many agent outcomes one human can actually audit in a day. Scale the fleet past that number and you are flying on assumptions.

[amrah09 @amrahrahmanoff]

@Ta_da_io Responsible innovation always matters.

[Ta-da @Ta_da_io]

China's agent rules are now in force. Three tiers of authorization, scaled to how much damage the action can do. Human approval stopped being a policy preference. It is a compliance requirement with teeth.

[amrah09 @amrahrahmanoff]

@Ta_da_io This is becoming more relevant every day.

[Ta-da @Ta_da_io]

Multi-agent adoption is compounding faster than anyone's ability to coordinate it. Teams add agents in weeks and build the oversight for them in quarters. That mismatch is the whole risk.

[amrah09 @amrahrahmanoff]

@Ta_da_io Quality beats speed every time.

[Ta-da @Ta_da_io]

Code-review agents are faster. They are not better. Speed without a calibrated quality signal just moves the defects downstream. The review step still needs a human who owns the final call.

[amrah09 @amrahrahmanoff]

@Ta_da_io The future belongs to those who adapt early.

[Ta-da @Ta_da_io]

2024: agents assist. 2025: agents execute single steps. 2026: agents own multi-day workflows. The teams still treating them like copilots will discover the gap the hard way.

[amrah09 @amrahrahmanoff]

@Ta_da_io A smart perspective that many people overlook.

[Ta-da @Ta_da_io]

Databricks hits $188B. The money is not betting on bigger models. It is betting on the governance and data layer that keeps agent fleets from becoming unmanageable. Control is the scarce resource now.

[amrah09 @amrahrahmanoff]

@Ta_da_io Great insight governance is becoming the real challenge.

[Ta-da @Ta_da_io]

2026 is the year the job shifted from building agents to governing fleets of them. The teams pulling ahead treat fleet observability as a standing function with a named owner, not a dashboard someone checks after an incident.

[amrah09 @amrahrahmanoff]

@Ta_da_io The future belongs to well-managed AI agents.

[Ta-da @Ta_da_io]

More than half of gen-AI orgs now run agents in production. The ones still running cleanly a year out will be those that wired in live measurement and human override before the fleet outgrew hands-on control.

[amrah09 @amrahrahmanoff]

@Ta_da_io Excellent explanation of the challenge...

[amrah09 @amrahrahmanoff]

@Ta_da_io Agents who invest in self-growth and stay curious are always one step ahead.