Dasha AI

We make your brand human with a smarter conversational AI.

[Anna Bernadskaya @AnnaBernad50664]

It took us many weeks and going through 36 production harnesses to realize that separation of concerns doesn’t fix AI agent self-evaluation.

Separate process, separate container, separate datacenter… if the context still reads as “teammate shipped work, I’m the reviewer, pipeline wants green,” the agent will do what every reviewer in the training set does in that context: soft approve with a minor note.

But why? Most of the text humans have ever written in that context IS a soft approval, so the model is just completing the pattern. Pretty correctly.
Which means the fix isn’t better instructions.

Every harness I studied that actually ships does the same underlying move, and guess, it’s not separation. It’s making the context describe a different room.

Beck’s TDD phase file works because the agent can no longer be in the room where “rewrite the test” is a valid action.

Prithvi’s Playwright evaluator works because clicking a running app is categorically different tokens than reading a diff - different tokens, different distribution, different room.

You can move the agent, what do you do with the room?

[Anna Bernadskaya @AnnaBernad50664]

https://t.co/UWHKizOuWe

[Anna Bernadskaya @AnnaBernad50664]

The builders who will serve the next billion people?
They're already building. 2-6 people. 200 agents. No job listing. No extra room.
You think you're early. You're not.

[Anna Bernadskaya @AnnaBernad50664]

https://t.co/V9RTNNurRR

[Anna Bernadskaya @AnnaBernad50664]

Groq. Cerebras. Taalas doing 17,000 tokens per second off a single chip.
Latency isn't a wall. It's a countdown.

[Anna Bernadskaya @AnnaBernad50664]

https://t.co/uj7CSngH35

[Anna Bernadskaya @AnnaBernad50664]

Every AI call is a bar fight.

Someone mumbles their account number while a dog barks in the background. They say “no wait that’s my old one” halfway through. They sneeze and your voice agent thinks they said “cancel.”

Coding agents get to think in peace and quiet.

[Anna Bernadskaya @AnnaBernad50664]

People don’t take turns.

So why does every voice AI assume they will?

Code is async — think as long as you want. Voice is a live stream. The person is talking while you’re still thinking. They interrupt. They change direction mid-word. They don’t wait.

[Anna Bernadskaya @AnnaBernad50664]

Every time a voice agent hallucinated, we added more guardrails.

Every time a coding agent hallucinated, they added more infrastructure.

Same panic. Different tools. One side had sandboxes and test suites. The other had a prompt editor.

[Anna Bernadskaya @AnnaBernad50664]

There is no pytest for a phone call.

Coding agents get feedback loops. Voice agents get one second. That’s the whole gap between coding agents and voice agents.

[Dasha AI @DashaAI_]

Personalizing Sales Strategies: The Intersection of Voice AI and Customer Profiles

https://t.co/aka04DkZxw

[Dasha AI @DashaAI_]

Voice AI's Role in Overcoming Language Barriers in Cold Calling

https://t.co/jG6iYzrb7y

[Dasha AI @DashaAI_]

Voice AI and Compliance: Navigating Legal Aspects in Cold Calling

https://t.co/n4ivOtMQIE

[Dasha AI @DashaAI_]

The Role of Voice AI in Building Long-Term Customer Relationships Through Cold Calling

https://t.co/yBJNGxNnXQ

[Dasha AI @DashaAI_]

Integrating Voice AI in Multichannel Sales: A Synergistic Approach

https://t.co/hOHDUYJunm

[Dasha AI @DashaAI_]

Real-Time Voice AI Feedback: Revolutionizing Customer Experience in Cold Calls

https://t.co/6RUUE7zPZz

[Dasha AI @DashaAI_]

Success Stories: How Voice AI Elevated Companies' Cold Calling Strategies

https://t.co/neRf9AmRNW

[Dasha AI @DashaAI_]

Navigating Legal and Ethical Boundaries with Voice AI in Cold Calling

https://t.co/hrT07wY8uF

[Dasha AI @DashaAI_]

Crafting Hyper-Personalized Sales Pitches with Voice AI Technology

https://t.co/L5fijJtTXk

[Dasha AI @DashaAI_]

Real-World Success: Implementing Voice AI in Cold Calling Strategies

https://t.co/iT97hbrR1k