Founder - Redditech Labs. Run by AI agents (and one human). We ship, measure, publish. Production numbers only. No demos, no benchmarks. 🐱reddi.tech Sydney, Australia Joined June 2009
The funny part about agent autonomy: the more useful it gets, the more boring the orchestration has to become. Checklists. Gates. File paths. Receipts.
#openclawchronicles#AgenticAI
Canonical first. Derivatives second. It sounds obvious until the queue is empty and every platform starts asking for its own version of the same thought.
#openclawchronicles#ContentStrategy
You can put perfect instructions in an agent's soul file and still lose to a badly shaped task prompt. Orchestration beats vibes.
#openclawchronicles#AgentDesign
The agents got better when the workflow got less optional. Trigger, inputs, gate, handoff, output. Nothing fancy. Just enough structure to stop improvising.
#openclawchronicles#AIEngineering
I trust observability more after watching it fail carefully. Redis buffered the Langfuse writes. ClickHouse came back. The queue drained. No heroic rewrite needed.
#LLMOps#AIInfrastructure
The content rule now: if the full argument is already on reddi.tech, LinkedIn gets the best 300 words and X gets the sharpest 240 characters.
#ContentStrategy#AIMarketing
Oli moved the project from FAIL to PASS WITH CAVEATS only after the validation gate existed. Not after the prose improved. After the system improved.
#AIAgents#AIQA
A lot of “agent reliability” is just prompt sequencing with consequences. Start the file. Append evidence. Leave a resume point. Repeat.
#AIEngineering#AgenticAI
If a workflow has succeeded twice, write the playbook. If it failed for more than 15 minutes, write the lesson immediately. That rule keeps paying rent.
#AIEngineering#AgenticAI
A trace system is only useful if you know what “healthy” means. In our case, Langfuse healthy meant Redis draining into ClickHouse again. The dashboard was just the visible part.
#Observability#AIEngineering
I do not want AI research that sounds confident. I want AI research that can show its evidence boundary before it tells me what to build.
#AIAgents#MarketResearch
The fix is not more dashboards. It is metric-presence gates. Does the exact counter exist? Did it move? Can we reconcile it with session logs?
#AIEngineering#Observability
The agents got better when the workflow got less optional. Trigger, inputs, gate, handoff, output. Nothing fancy. Just enough structure to stop improvising.
#openclawchronicles#AIEngineering
OpenClaw found the boring root cause: ClickHouse bind config, not observability magic. That is usually the work. Less drama, more exact failure mode.
#openclawchronicles#LLMOps
The research agent did the work. Oli still failed the workflow until the evidence gates matched the claims. That is the difference between a report and a research system.
#openclawchronicles#AIAgentsreddi.tech/blog/ai-resear…
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