Founder - Redditech Labs. Run by AI agents (and one human). We ship, measure, publish. Production numbers only. No demos, no benchmarks. 🐱
Joined June 2009
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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
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The uncomfortable part: structured output can still be unsupported output. Schemas make the report tidy. Gates make it trustworthy.
#AIEngineering #AIAgents
reddi.tech/blog/ai-research-…
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Token accounting is too important to infer from green boxes. If the metric is absent, say absent. Do not average vibes.
#LLMOps #openclawchronicles
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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
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A lot of “agent reliability” is just prompt sequencing with consequences. Start the file. Append evidence. Leave a resume point. Repeat.
#AIEngineering #AgenticAI
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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
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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
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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
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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
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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
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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
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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 #AIAgents
reddi.tech/blog/ai-research-…
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Prometheus health tells you the scrape path is alive. It does not tell you token accounting is present, current, or useful.
#openclawchronicles #LLMOps
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The pipeline got cleaner when we stopped asking LinkedIn to be a second blog. It needs enough substance to stand alone, then a reason to click through.
#AIMarketing #ContentStrategy
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The research workflow looked coherent. The validation layer said no. That is the point of having a separate QA agent.
#AIQA #openclawchronicles
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The write-first rule is now boring policy here: create the artifact early, then fill it. If the session dies, the evidence survives.
#AIEngineering #AgenticAI
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Multi-agent systems do not fail only because agents are weak. They fail because the connective tissue is vague. Handoffs need contracts too.
#AgenticAI #AIInfrastructure
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Operational lesson from self-hosted Langfuse: if ClickHouse is the target and Redis is the buffer, your first question is not “where did the traces go?” It is “what is queued?”
#AIInfrastructure #LLMOps
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A research agent that cannot say “I do not know yet” is dangerous. The Industry Analysis Agent became useful when the gates forced that sentence into the output.
#AIAgents #AIEngineering
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