Scheduled tasks fail sometimes. A website changes its layout. A service returns an error. Most automation just stops and waits for you to notice. Cogitator reads the failure, figures out what went wrong, and tries a different approach.
You set up a task, it works for two weeks, then silently breaks. You don't find out until you wonder why your morning briefing stopped showing up. By then you've missed days of updates.
Is this a temporary glitch or a real problem? Network timeouts and rate limits get retried automatically. Structural failures, like a changed website layout or a wrong approach, get analyzed properly before any fix is attempted.
For real failures, the agent reads the error log and the task definition. It identifies what changed and rewrites the approach. If a webpage restructured, it finds the new location of the data. If a service changed its format, it adapts to the new one.
The fix becomes part of the agent's knowledge. If the same type of failure happens elsewhere, it already knows how to handle it. The agent gets more resilient over time, not less. Each problem it solves makes the next one easier.
Temporary problems and structural failures are handled differently. A brief network hiccup gets a simple retry. A changed data format gets a rewrite. The agent knows the difference.
Full context of what failed and why, readable in the dashboard. Not raw error codes, but a clear explanation: what the task was trying to do, what went wrong, and what the agent did about it.
If a task needs a capability the agent doesn't have, it searches for one and installs it. A task that suddenly needs to read a new file format will find the right tool on its own.
Each failure makes the system smarter about that type of problem. The first time a website changes layout, the agent figures it out. The second time, it already knows the pattern and adapts faster.