Updates, experiments and lessons.
Short pieces that give context to each of ATIEMPPO's live projects: SICETAC, El Dato Logístico, La Comunidad, Insignia Impact and more.
X MCP and agents connected to live sources
A commercial reading of how X's official MCP servers open the way to agents that monitor public conversation, signals and official documentation to produce live reports.
Read article →X MCP and agents connected to live sources
A commercial reading of how X's official MCP servers open the way to agents that monitor public conversation, signals and official documentation...
Read →Four projects to show how we're building applied AI
An umbrella piece introducing Bruno/OpenClaw, Novedades en Vías, El Dato Logístico and Profe Bruno as live cases of applied AI.
Read →Bruno Futbolero: conversational agents that understand context
A social lab to test agents with tone, memory, live data and fluid conversation in real groups.
Read →Profe Bruno: learning applied AI by working on real cases
An initiative for people and teams to learn artificial intelligence from real problems, exercises and cases.
Read →El Dato Logístico: a live editorial system built with AI agents
How AI agents can sustain monitoring, curation, articles, data and live reports for sector intelligence.
Read →Asking your data: conversational agents for business decisions
A conceptual case on how to turn databases, reports and dashboards into traceable conversations for business teams.
Read →AI agents for logistics monitoring: the Novedades en Vías case
How a specialized agent turns scattered signals about logistics corridors into useful reports for decision-making.
Read →Bruno and OpenClaw: AI that doesn't just answer, it executes
Atiemppo's flagship case: operational AI that uses tools, coordinates tasks and helps move real work forward.
Read →How we're building an AI workbench
A flagship piece on how Atiemppo is turning agents, data, documents and conversations into a new way of working with AI.
Read →The World Cup kicked off yesterday. And we put Bruno in a football group chat
An experience with Bruno, OpenClaw and a real WhatsApp group to test what happens when AI stops living on an individual screen...
Read →Down with the tyranny of the button
Why the next interface in logistics isn't another dashboard, but a conversational layer that queries the real database and answers with verifiable...
Read →Claude Code vs Codex: two ways of working with AI on code
Claude Code and Codex aim at the same problem but don't solve it the same way. An objective comparison of two different...
Read →SICETAC API for transport companies: a modern layer for systems, agents and operations
How we're turning our SICETAC API into a product to connect systems, agents and commercial, operational and financial teams.
Read →Insignia Impact: a line in development on social responsibility in logistics and supply chain
Why we're opening space for a new conversation about impact, logistics and supply chain.
Read →La Comunidad: the depth layer of El Dato Logístico
Why we opened a community on Skool and what place it holds within the editorial and product ecosystem.
Read →El Dato Logístico: an editorial layer to think better about logistics, transport and data
What role the newsletter plays within ATIEMPPO's ecosystem and why we don't see it as isolated content.
Read →GPT El Dato Logístico: our specialized assistant in ChatGPT
Why we opened our own GPT to converse about logistics, transport, data and context interpretation.
Read →SICETAC al Instante Web: a simple interface for a complex query
What changes when a cost tool stops looking like a technical form and starts feeling like a useful product.
Read →SICETAC al Instante on WhatsApp: checking a route now takes one message
How we turned an operational need into a direct WhatsApp access to check SICETAC values with a simple instruction.
Read →The day we won Apps.co following the Vuelta a Colombia
Atiemppo's origin story: from an idea that didn't add up to an MVP in three weeks that ended up shaping the company's...
Read →Founder's Letter: ATICA, 7 months later
What we learned after 7 months of ATICA, more than 1,400 unique users and the evolution toward agents that move from data...
Read →AEO: why visibility in AI is already a competitive advantage
What changes when your clients ask ChatGPT, Claude or Perplexity first, and how to work on visibility in AI engines starting now....
Read →ATICA: the agent that understands the Colombian transport market
How we trained ATICA to answer with real context of transport in Colombia and turn complex questions into actionable decisions.
Read →SICETAC-LAB: how we built the first dynamic transport-cost agent in Colombia
The behind-the-scenes of SICETAC-LAB: regulatory context, architecture and how we went from manual lookup to actionable answer in seconds.
Read →Obsidian, Markdown and the AI that remembers
Not all AI tools live in the cloud. Obsidian is personal infrastructure: an operational brain to document, connect and reuse knowledge with...
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