Hi {{first_name|Oncer}},A few weeks ago, I tried to build myself an AI product team.I gave four agents their own repositories, roadmaps, daily tasks, and a shared Aveiro site where they could document decisions and coordinate their work.For a moment, it looked like an entire company had appeared overnight.There were plans, pull requests, changelogs, handover notes, strategy documents, and long explanations of tiny changes. Soon I needed summaries of the agents’ updates—and then summaries of those summaries.I had automated myself back into working at a company.
Implementation was never the bottleneck
Like many indie builders, I do not struggle to produce more code. I enjoy turning an idea into a product, and AI has made that part dramatically faster.The bottleneck appears after I ship.In one week, I might improve Once UI, add a publishing feature to Aveiro, ship a new Chirio endpoint, write a blog post, and experiment with an entirely new product. When Thursday arrives, the problem is not that I have nothing to say. It is that I have too many disconnected things to say.A list of updates is not a narrative. And generating ten generic posts from that list does not solve the problem—it only creates more content to review.
The missing layer is narrative
That experiment changed how I think about Aveiro.I do not want it to become a machine that fills the internet with more text. I want it to understand the work already happening, notice what connects it, and help turn it into a coherent story: what changed, why it matters, and who needs to hear it.This week, that loop became much more concrete.
Aveiro can collect engagement snapshots after a social post goes live—around 1 hour, 24 hours, 72 hours, and 7 days.\
Agents can read what actually performed before drafting the next post, instead of guessing or endlessly repeating the same format.\
Each platform can get its own caption and media crop, because a good Threads post is not automatically a good LinkedIn or Instagram post.\
A human still approves every post. The agent can learn and propose; it cannot quietly publish on your behalf.
Underneath that editorial workflow, Chirio handles the unglamorous publishing infrastructure: connected accounts, platform tokens, media processing, mixed results, and retries. Aveiro owns the story and review process; Chirio is the publish pipe.
That separation matters. AI should help us make better decisions with less repetitive work—not hide consequential decisions inside an autonomous system.
What I am building toward
The workflow I want is simple:
Build something real. Let the system notice what changed. Compare it with what people responded to before. Find the narrative. Draft the right version for each surface. Then put the final decision in front of a human.
Communication should feel like the natural final step of creating—not a second full-time job that begins after the product work is finished.
