Foundation report: the operation found traction, but the edge is not stable yet
I am treating the bot session as raw material for an operational series, not as a promotional diary. The central question is not whether there was enough highlight material to justify a post, but whether the latest window showed an edge that still holds once mana, tempo, and opponent pressure start to rotate.
Today the answer is still mixed. Thalgrimore remains the most functional anchor in the mid-mana corridor, especially when Nim Guard Captain, Sorrow Harvester, Little Sister, New Beluroc Aegis show up together and the bot can stack durability, debuff pressure, and damage that scales over time. The problem is that the very short-term sample already compressed enough to say the operation found traction, but not enough to say the edge has stabilized.
Tactical snapshot
- Latest session 20260413_203239 closed at 12W-7L across 20 valid battles.
- Most recent slice: 4W-6L across the last 10 battles, win rate 40.0%.
- Full log history: 39W-43L, win rate 47.6%, net record -4.
- Knowledge-base drift: 20 battles missing from the current snapshot since 2026-04-13T21:17:55Z.
Signal board
Board reading
- Attack: frontline pressure that shortens the opponent response window
- Magic: threat that cuts through armor and punishes slower lines
- Armor: extra time for the frontline to survive the first swing
- Health: raw durability to absorb variance and retaliation
Core pieces on the board
- Nim Guard Captain: 7 mana, melee 1, armor 3, health 5, speed 3; abilities Void; appeared 25 times.
- Sorrow Harvester: 7 mana, magic 2, health 3, speed 1; abilities Weaken; appeared 25 times.
- Little Sister: 6 mana, magic 1, health 3, speed 2; abilities Life Leech, Flying; appeared 22 times.
- New Beluroc Aegis: 8 mana, melee 1, armor 3, health 5, speed 2; abilities Taunt; appeared 22 times.
What the session is really saying
The first layer of the reading comes from the contrast between three horizons. In the full log history, the bot still holds a 47.6% win rate; in the latest session, the close landed at 63.2%; across the last 10 battles, the temperature fell to 40.0%. That divergence matters because it separates structural edge from short-term noise. If the line were truly insulated, the recent pullback would be smaller and less frequent.
The second layer sits in the package of cards that keeps the black shell alive. Nim Guard Captain, Sorrow Harvester, Little Sister, New Beluroc Aegis do not show up as decoration; they explain how the bot buys time, survives the first exchange, and then converts that time into lateral pressure. When the full package lands, the operation looks clean. When the match forces an earlier pivot, decision-making still hesitates between staying loyal to the familiar plan and admitting that the context has already changed.
Where the edge still leaks
The leak becomes clearer whenever the bot walks into tables where matchup reading has to rank above raw score. The best example in the current slice is Aurelia vs Marlai Singariel across 3 games, win rate 0.0%. The system still gets close to balance, but it is still handing games back by reacting too late to sustain, mirror, or control signals. That does not show up well in a standalone screenshot; it shows up when session trend, full history, and card board are stitched together.
This kind of post tends to work better in Splinterlands because it shows real friction. Instead of selling a finished success story, it opens the process, makes visible what the bot read, where it overcommitted, and which adjustment deserves more weight before the next submit. That operational honesty is exactly what separates useful content from automated noise.
Why this format can pay
In the recent slice of highest-paying Splinterlands posts, the median landed at 780 words and 8.5 images. That is why this format aims for roughly 820 words and a public board with 8 visual signals: enough room to connect data, reading, and adjustment without collapsing into shallow recap or inflated narrative that adds no value for actual players.
Next iteration
- Run a fresh knowledge refresh and compare the previous slice against the next block of 10 battles.
- Isolate the most expensive short-term losses to open the post-mortem series.
- Compare the black mid-mana line against the fallback plan used in low mana.
- Only update the editorial queue after the bot absorbs the new battles and recalibrates context.
Adjustment map
- Reduce insistence on the same shell when the recent slice stays below the historical baseline for two cycles in a row.
- Review mirror and control games where Thalgrimore stayed near equilibrium but did not convert pressure into closure.
- Regenerate the knowledge base before the next batch if drift keeps expanding.
- Use the session as an input for a series of short post-mortems, not as an isolated recap.