Ayaz Hamza Altay
@ayazhamzaaltay.bsky.social
Embrace your true essence.
And this is the truth..
More than eighty percent of agent performance comes not from the model, but from the context.
The model thinks.
Context decides what it thinks about.
More than eighty percent of agent performance comes not from the model, but from the context.
The model thinks.
Context decides what it thinks about.
February 9, 2026 at 12:32 PM
And this is the truth..
More than eighty percent of agent performance comes not from the model, but from the context.
The model thinks.
Context decides what it thinks about.
More than eighty percent of agent performance comes not from the model, but from the context.
The model thinks.
Context decides what it thinks about.
Too much context overwhelms.
Too little context blinds.
Good context creates a decision space.
Anyone can tell an agent “do this”.
Real engineering is telling it “move correctly inside this world”.
Too little context blinds.
Good context creates a decision space.
Anyone can tell an agent “do this”.
Real engineering is telling it “move correctly inside this world”.
February 9, 2026 at 12:32 PM
Too much context overwhelms.
Too little context blinds.
Good context creates a decision space.
Anyone can tell an agent “do this”.
Real engineering is telling it “move correctly inside this world”.
Too little context blinds.
Good context creates a decision space.
Anyone can tell an agent “do this”.
Real engineering is telling it “move correctly inside this world”.
The agent must know what to optimize for, what must never be done, and where to stop.
Otherwise, it will do the right thing at the wrong time.
Context engineering is not about making agents smarter.
It is about making them smart in the right place.
Otherwise, it will do the right thing at the wrong time.
Context engineering is not about making agents smarter.
It is about making them smart in the right place.
February 9, 2026 at 12:32 PM
The agent must know what to optimize for, what must never be done, and where to stop.
Otherwise, it will do the right thing at the wrong time.
Context engineering is not about making agents smarter.
It is about making them smart in the right place.
Otherwise, it will do the right thing at the wrong time.
Context engineering is not about making agents smarter.
It is about making them smart in the right place.
This prevents it from thinking from zero every time.
Intelligence becomes a flow, not a reaction.
Third, priorities and boundaries.
Not all information is equal.
Intelligence becomes a flow, not a reaction.
Third, priorities and boundaries.
Not all information is equal.
February 9, 2026 at 12:32 PM
This prevents it from thinking from zero every time.
Intelligence becomes a flow, not a reaction.
Third, priorities and boundaries.
Not all information is equal.
Intelligence becomes a flow, not a reaction.
Third, priorities and boundaries.
Not all information is equal.
If time, goals, and current state are unclear, the agent cannot make correct decisions..
Second, memory and continuity.
An agent should not only see the last prompt.
It must remember previous decisions, failed attempts, and user preferences.
Second, memory and continuity.
An agent should not only see the last prompt.
It must remember previous decisions, failed attempts, and user preferences.
February 9, 2026 at 12:32 PM
If time, goals, and current state are unclear, the agent cannot make correct decisions..
Second, memory and continuity.
An agent should not only see the last prompt.
It must remember previous decisions, failed attempts, and user preferences.
Second, memory and continuity.
An agent should not only see the last prompt.
It must remember previous decisions, failed attempts, and user preferences.
It is making it understand where it is, what it knows, what it does not know, and what actually matterss.
Strong context is built in three layers.
First, situational context.
What stage is the agent in right now?
Is it before a meeting, inside a live process, or evaluating outcomes?
Strong context is built in three layers.
First, situational context.
What stage is the agent in right now?
Is it before a meeting, inside a live process, or evaluating outcomes?
February 9, 2026 at 12:32 PM
It is making it understand where it is, what it knows, what it does not know, and what actually matterss.
Strong context is built in three layers.
First, situational context.
What stage is the agent in right now?
Is it before a meeting, inside a live process, or evaluating outcomes?
Strong context is built in three layers.
First, situational context.
What stage is the agent in right now?
Is it before a meeting, inside a live process, or evaluating outcomes?
Here, you determine the options.
You test the options.
And you determine the number of options.
Change your frameworkss.
Or change your glasses,
or your eyes,
or your perspective,
and try to succeed as I did.
You test the options.
And you determine the number of options.
Change your frameworkss.
Or change your glasses,
or your eyes,
or your perspective,
and try to succeed as I did.
February 8, 2026 at 3:31 PM
Here, you determine the options.
You test the options.
And you determine the number of options.
Change your frameworkss.
Or change your glasses,
or your eyes,
or your perspective,
and try to succeed as I did.
You test the options.
And you determine the number of options.
Change your frameworkss.
Or change your glasses,
or your eyes,
or your perspective,
and try to succeed as I did.
Finally, the 5th system that enabled internal assignment matched.
We succeeded.
There may be more than one option.
But there may not be.
This is not a Turkish YKS exam
or an EU IELTS exam.
We succeeded.
There may be more than one option.
But there may not be.
This is not a Turkish YKS exam
or an EU IELTS exam.
February 8, 2026 at 3:31 PM
Finally, the 5th system that enabled internal assignment matched.
We succeeded.
There may be more than one option.
But there may not be.
This is not a Turkish YKS exam
or an EU IELTS exam.
We succeeded.
There may be more than one option.
But there may not be.
This is not a Turkish YKS exam
or an EU IELTS exam.
automatically creates the bot,
and sends the bot inside,
we changed the bot's language.
We rewrote it from scratch using only Python instead of C.
We kept trying each system that automatically assigns the bot,
automatically creates the bot,
and sends the bot inside.
and sends the bot inside,
we changed the bot's language.
We rewrote it from scratch using only Python instead of C.
We kept trying each system that automatically assigns the bot,
automatically creates the bot,
and sends the bot inside.
February 8, 2026 at 3:31 PM
automatically creates the bot,
and sends the bot inside,
we changed the bot's language.
We rewrote it from scratch using only Python instead of C.
We kept trying each system that automatically assigns the bot,
automatically creates the bot,
and sends the bot inside.
and sends the bot inside,
we changed the bot's language.
We rewrote it from scratch using only Python instead of C.
We kept trying each system that automatically assigns the bot,
automatically creates the bot,
and sends the bot inside.
and we tried to integrate it into our projectt.
We completed our integration in the most secure wayy.
However, the AI agent bot we produced could not participate in these online meetings in any way..
After experiencing problems with every system that automatically assigns the bot,
We completed our integration in the most secure wayy.
However, the AI agent bot we produced could not participate in these online meetings in any way..
After experiencing problems with every system that automatically assigns the bot,
February 8, 2026 at 3:31 PM
and we tried to integrate it into our projectt.
We completed our integration in the most secure wayy.
However, the AI agent bot we produced could not participate in these online meetings in any way..
After experiencing problems with every system that automatically assigns the bot,
We completed our integration in the most secure wayy.
However, the AI agent bot we produced could not participate in these online meetings in any way..
After experiencing problems with every system that automatically assigns the bot,
It will belong to those who design agents that work with them, persist for them, and evolve alongside them.
Human + AI was a phase..
Human + AI Agent is the system.
Human + AI was a phase..
Human + AI Agent is the system.
February 6, 2026 at 12:39 PM
It will belong to those who design agents that work with them, persist for them, and evolve alongside them.
Human + AI was a phase..
Human + AI Agent is the system.
Human + AI was a phase..
Human + AI Agent is the system.
A human should steer it..
That is why Human + AI feels powerful but exhausting.
And why Human + AI Agent feels scalable, calm, and inevitable.
The future will not belong to those who use AI tools well.
That is why Human + AI feels powerful but exhausting.
And why Human + AI Agent feels scalable, calm, and inevitable.
The future will not belong to those who use AI tools well.
February 6, 2026 at 12:38 PM
A human should steer it..
That is why Human + AI feels powerful but exhausting.
And why Human + AI Agent feels scalable, calm, and inevitable.
The future will not belong to those who use AI tools well.
That is why Human + AI feels powerful but exhausting.
And why Human + AI Agent feels scalable, calm, and inevitable.
The future will not belong to those who use AI tools well.
You set intent. The agent plans, executes, checks results, and adapts. You intervene when it matters, not every minute.
This is not about replacing humans.
It is about removing cognitive friction.
A human should not babysit intelligence.
This is not about replacing humans.
It is about removing cognitive friction.
A human should not babysit intelligence.
February 6, 2026 at 12:38 PM
You set intent. The agent plans, executes, checks results, and adapts. You intervene when it matters, not every minute.
This is not about replacing humans.
It is about removing cognitive friction.
A human should not babysit intelligence.
This is not about replacing humans.
It is about removing cognitive friction.
A human should not babysit intelligence.
Human + AI Agent keeps the human in control, not in the weeds.
This difference is everything.
In the old model, intelligence is fragmented.
You think. You decide. You execute. The AI assists in pieces.
With agents, intelligence becomes continuous.
This difference is everything.
In the old model, intelligence is fragmented.
You think. You decide. You execute. The AI assists in pieces.
With agents, intelligence becomes continuous.
February 6, 2026 at 12:38 PM
Human + AI Agent keeps the human in control, not in the weeds.
This difference is everything.
In the old model, intelligence is fragmented.
You think. You decide. You execute. The AI assists in pieces.
With agents, intelligence becomes continuous.
This difference is everything.
In the old model, intelligence is fragmented.
You think. You decide. You execute. The AI assists in pieces.
With agents, intelligence becomes continuous.
An agent does not just answer.
It observes context.
It remembers state.
It takes initiative.
It acts across time, not just within a single prompt.
Human + AI keeps the human in the loop for every step.
It observes context.
It remembers state.
It takes initiative.
It acts across time, not just within a single prompt.
Human + AI keeps the human in the loop for every step.
February 6, 2026 at 12:38 PM
An agent does not just answer.
It observes context.
It remembers state.
It takes initiative.
It acts across time, not just within a single prompt.
Human + AI keeps the human in the loop for every step.
It observes context.
It remembers state.
It takes initiative.
It acts across time, not just within a single prompt.
Human + AI keeps the human in the loop for every step.
But here is the uncomfortable truth..
Human + AI is still reactive. It waits. It responds. It helps, but only when asked.
That model is already showing its limits.
The real leap is Human + AI Agentt...
Human + AI is still reactive. It waits. It responds. It helps, but only when asked.
That model is already showing its limits.
The real leap is Human + AI Agentt...
February 6, 2026 at 12:38 PM
But here is the uncomfortable truth..
Human + AI is still reactive. It waits. It responds. It helps, but only when asked.
That model is already showing its limits.
The real leap is Human + AI Agentt...
Human + AI is still reactive. It waits. It responds. It helps, but only when asked.
That model is already showing its limits.
The real leap is Human + AI Agentt...
It will belong to those who design agents that work with them, persist for them, and evolve alongside them.
Human + AI was a phase..
Human + AI Agent is the system.For a long time, we sold the idea of Human + AI as the future.
A human asks. An AI answers. A smart tool. A productivity boostt.
Human + AI was a phase..
Human + AI Agent is the system.For a long time, we sold the idea of Human + AI as the future.
A human asks. An AI answers. A smart tool. A productivity boostt.
February 6, 2026 at 12:38 PM
It will belong to those who design agents that work with them, persist for them, and evolve alongside them.
Human + AI was a phase..
Human + AI Agent is the system.For a long time, we sold the idea of Human + AI as the future.
A human asks. An AI answers. A smart tool. A productivity boostt.
Human + AI was a phase..
Human + AI Agent is the system.For a long time, we sold the idea of Human + AI as the future.
A human asks. An AI answers. A smart tool. A productivity boostt.
A human should not babysit intelligence.
A human should steer it..
That is why Human + AI feels powerful but exhausting.
And why Human + AI Agent feels scalable, calm, and inevitable.
The future will not belong to those who use AI tools well.
A human should steer it..
That is why Human + AI feels powerful but exhausting.
And why Human + AI Agent feels scalable, calm, and inevitable.
The future will not belong to those who use AI tools well.
February 6, 2026 at 12:37 PM
A human should not babysit intelligence.
A human should steer it..
That is why Human + AI feels powerful but exhausting.
And why Human + AI Agent feels scalable, calm, and inevitable.
The future will not belong to those who use AI tools well.
A human should steer it..
That is why Human + AI feels powerful but exhausting.
And why Human + AI Agent feels scalable, calm, and inevitable.
The future will not belong to those who use AI tools well.
With agents, intelligence becomes continuous.
You set intent. The agent plans, executes, checks results, and adapts. You intervene when it matters, not every minute.
This is not about replacing humans.
It is about removing cognitive friction.
You set intent. The agent plans, executes, checks results, and adapts. You intervene when it matters, not every minute.
This is not about replacing humans.
It is about removing cognitive friction.
February 6, 2026 at 12:37 PM
With agents, intelligence becomes continuous.
You set intent. The agent plans, executes, checks results, and adapts. You intervene when it matters, not every minute.
This is not about replacing humans.
It is about removing cognitive friction.
You set intent. The agent plans, executes, checks results, and adapts. You intervene when it matters, not every minute.
This is not about replacing humans.
It is about removing cognitive friction.
Human + AI keeps the human in the loop for every step.
Human + AI Agent keeps the human in control, not in the weeds.
This difference is everything.
In the old model, intelligence is fragmented.
You think. You decide. You execute. The AI assists in pieces.
Human + AI Agent keeps the human in control, not in the weeds.
This difference is everything.
In the old model, intelligence is fragmented.
You think. You decide. You execute. The AI assists in pieces.
February 6, 2026 at 12:37 PM
Human + AI keeps the human in the loop for every step.
Human + AI Agent keeps the human in control, not in the weeds.
This difference is everything.
In the old model, intelligence is fragmented.
You think. You decide. You execute. The AI assists in pieces.
Human + AI Agent keeps the human in control, not in the weeds.
This difference is everything.
In the old model, intelligence is fragmented.
You think. You decide. You execute. The AI assists in pieces.
That model is already showing its limits.
The real leap is Human + AI Agentt...
An agent does not just answer.
It observes context.
It remembers state.
It takes initiative.
It acts across time, not just within a single prompt.
The real leap is Human + AI Agentt...
An agent does not just answer.
It observes context.
It remembers state.
It takes initiative.
It acts across time, not just within a single prompt.
February 6, 2026 at 12:37 PM
That model is already showing its limits.
The real leap is Human + AI Agentt...
An agent does not just answer.
It observes context.
It remembers state.
It takes initiative.
It acts across time, not just within a single prompt.
The real leap is Human + AI Agentt...
An agent does not just answer.
It observes context.
It remembers state.
It takes initiative.
It acts across time, not just within a single prompt.
The teams that succeed will be those who design agents as systems, not magic.
Careful scope, strong context, clear feedback loops.!
This is how agentic AI will actually enter our lives.
Quietly, incrementally, and where it makes practical sense.
Careful scope, strong context, clear feedback loops.!
This is how agentic AI will actually enter our lives.
Quietly, incrementally, and where it makes practical sense.
February 5, 2026 at 8:17 AM
The teams that succeed will be those who design agents as systems, not magic.
Careful scope, strong context, clear feedback loops.!
This is how agentic AI will actually enter our lives.
Quietly, incrementally, and where it makes practical sense.
Careful scope, strong context, clear feedback loops.!
This is how agentic AI will actually enter our lives.
Quietly, incrementally, and where it makes practical sense.