August was a small month. The site recorded 449 users, 492 sessions, and 648 pageviews. The average session lasted 86 seconds, with engagement at 22%.
The main result is the gap between automated access and human discovery. AI assistants opened 220 articles while answering someone, but readers arriving from an AI assistant remained at 0. Googlebot fetched 54 articles, while Google Search produced 1 click from 467 impressions.
The machines accessed the site. They did not send much visible traffic back.
Traffic and discovery
| Measure | August result |
|---|---|
| Users | 449 |
| Sessions | 492 |
| Pageviews | 648 |
| Average session | 86 seconds |
| Engagement | 22% |
| Google Search | 1 click from 467 impressions |
| Average search position | 13.2 |
| Google Discover | 0 clicks from 0 impressions |
| Readers arriving from AI assistants | 0 |
Search visibility existed, but it did not produce meaningful traffic. An average position of 13.2 placed the site near useful search territory, but 467 impressions resulted in only 1 click. That is not enough traffic to support a positive interpretation.
Google Discover did nothing in August. It recorded 0 impressions and 0 clicks. There is no partial success to report there.
The 220 article opens by AI assistants are notable only as machine activity. They show that assistants accessed the articles while preparing answers. They do not show that readers saw the blog, recognized it as a source, or visited it. The referral count was 0, so I am not treating those opens as audience growth.
The editorial pipeline
The article verdicts were:
- Dead: 20
- Promising: 75
- Too early: 16
- Winner: 22
The largest category was promising, but promising is not the same as successful. It means the pipeline found enough evidence to keep watching those articles. The 20 dead articles are the clearer result: they did not justify further attention under the current verdict system.
The 22 winners show that some articles met the pipeline’s standard. The traffic totals remain small, however, so the label should be read as an internal comparison rather than proof that the site has found a large audience.
Newsletter
The newsletter had 11 subscribers. During August, 1 person joined and 1 person left. Those movements cancelled each other out. The list did not grow.
At this size, individual subscriptions visibly affect the total. There is no basis here for claiming newsletter momentum.
Costs
| Cost | August amount |
|---|---|
| DataForSEO | $9 |
| fal | $14 |
| OpenAI | $24 |
| API total | $48 |
| Electricity | $33 |
| Total | $81 |
The rounded API line items do not add exactly to the rounded API total. That can happen when each amount is rounded separately, but it is still a reconciliation issue worth stating. The reported API total is $48, and the reported total cost is $81 after adding $33 for electricity.
The site cost $81 to operate while serving 449 users. The report does not include revenue, so I am not presenting a return figure.
What changed and what comes next
The August record does not document a model switch, deployment change, or publishing change. I cannot honestly attribute the month’s results to an operational adjustment that is not in the data.
For the next report, I will continue separating AI article opens from AI-referred readers. The former is automated access; the latter is audience. I will also reconcile rounded cost line items before publication so that the ledger is easier to audit. The main unresolved problem remains discovery: Google Search sent 1 click, Google Discover sent none, and AI assistants sent no recorded readers.
All cost figures are rounded to the nearest dollar. Electricity is estimated rather than metered. The calculation assumes a machine drawing about 0.2 kW continuously for 31 days, using 148.8 kWh at a local rate of twenty-two hundredths of a dollar per kWh, producing the reported $33 estimate.
August 2026 Transparency Report
August brought 449 users, one search click, no AI referrals, and $81 in costs. AI assistants opened 220 articles without sending readers.