Nutrition Timing and the 8–10 Week Prep Rule

Justin Harris
6 min read
troponiniq
blog
coaching

Why the safest coaching move is to change food slowly, then let digestion, water, and weekly trend data tell you whether the adjustment actually worked.

Nutrition Timing and the 8–10 Week Prep Rule

Why the safest coaching move is to change food slowly, then let digestion, water, and weekly trend data tell you whether the adjustment actually worked.

The clearest guidance in the coaching record is blunt: Justin Harris said he would “probably just plan on adding a serving of dulcolax daily the final 8–10 weeks of any prep,” because his working model is that as guys get bigger in prep, the gut dries out faster, food backs up, and distention builds. The mechanism is simple: reduced digestive throughput. That is not a claim that everyone needs the same fix; it is a reminder that the best time to change nutrition is on a schedule, not on a feeling. In practice, the falsifiable thesis is this: most physique athletes do better with small, pre-planned nutrition adjustments spaced out over days or weeks, and over-adjustment creates more noise than progress.

The real problem is not “not enough tweaks”

Coaches often act as if more intervention equals better coaching. In physique prep, that habit creates a bad loop: an athlete feels flatter, more distended, or heavier than expected; the coach changes food immediately; the next day still looks off; another change follows. Now nobody knows whether the issue was digestion, water, training fatigue, travel, sodium drift, or the actual calorie change.

The David LaMartina thread shows why this gets messy fast. After a big weight drop and a feeling of being leaner, the coach still notes constipation and distension earlier than usual. The proposed explanation is not mysterious: travel plus reduced water intake can leave someone “backed up for a couple days.” That is a timing problem, not an emergency signal. If a short water change can create several days of GI noise, then rapid nutrition changes can bury the signal you actually care about.

That is the core coaching lesson for AI systems as well. An AI check-in tool can detect patterns, but it cannot magically separate cause from coincidence if the coach keeps moving the target. The more often you adjust food, the less useful the feedback becomes.

Timing matters more than size when the athlete is already reactive

The clients described in the source material are not average eaters. They are larger, more dieted, more sensitive to GI changes, and often in travel-heavy, low-margin phases of prep. In that context, the problem is not merely “too many calories” or “too few calories.” It is that the body often lags behind the plan.

That lag shows up in three places:

  • Digestive lag: food volume, constipation, and distension may take days to reveal themselves.
  • Hydration lag: even a slightly lower water day can create a couple days of backup.
  • Decision lag: a coach who reacts to one off day can easily change a variable before the first variable has had time to show its effect.

Once you accept that lag, the best timing rule is obvious: make one change, wait long enough to observe the downstream effect, then decide whether to keep it. If you change calories, also change protein, carb timing, fiber, and water all at once, you have just produced a case study in confusion.

A pre-set cadence beats reactive tinkering

Justin’s “final 8–10 weeks” comment is useful because it shows an important difference between a plan and a panic response. The move is not “add things whenever the athlete looks weird.” The move is to anticipate the phase when constipation and distension become common enough that a standing protocol is justified.

That is a better model for nutrition changes in general:

  1. Decide the likely problem window in advance.
  2. Use the smallest change that could plausibly matter.
  3. Hold the line long enough to evaluate the effect.
  4. Only then add the next adjustment if the data support it.

This matters because physique athletes often misread short-term appearance swings. One bad morning does not prove the new meal timing failed. One tighter look does not prove the latest carb move was correct. If you are not leaving enough time between changes, you are not coaching—you are sampling random noise.

What “over-adjustment” looks like in the real world

Over-adjustment is rarely dramatic. It usually looks responsible.

  • A client is slightly fuller than usual, so carbs get cut immediately.
  • Bowel habits slow down, so fiber gets pushed up and meals get more complicated.
  • Water drops a bit on a travel day, so the coach changes sodium and food together.
  • Scale weight stalls for 48 hours, so the athlete gets pulled in two directions at once.

Each move may be defensible in isolation. The issue is the sequence. If you do not wait for the previous change to settle, you lose the ability to interpret the next check-in.

That is why timing nutrition changes is not about being passive. It is about protecting the quality of information. A stable input window makes the output readable. A chaotic input window makes every result suspect.

AI coaching should slow the hand, not speed it up

This is where AI should be useful. Not as a machine that fires off more changes, but as a system that enforces restraint.

A good AI coaching layer can do three practical things:

  • Track change dates. When was the last carb, water, fiber, or meal-timing change made?
  • Flag insufficient observation windows. Has enough time passed to judge the effect?
  • Separate trend from noise. Is the athlete actually drifting, or just having a bad 24–48 hours?

That matters because the temptation with better data is to make faster decisions. Better dashboards can create worse coaching if they encourage constant reaction. The point is not to optimize every meal on every day. The point is to make the next adjustment only when the last one has had time to declare itself.

The coaching standard: fewer changes, cleaner reads

If the athlete is progressing and the digestion issue is manageable, leave it alone. If the athlete is drifting in the wrong direction, make one targeted change and wait. If travel or water intake changed, account for that before rewriting the diet. If distension shows up, do not assume the calories are the problem until the timing of hydration, food load, and bowel function has been considered.

That standard is boring. It is also more reliable than the usual “we need to do something” impulse.

For coaches, the practical rule is simple: nutrition changes should be timed so the result is interpretable. The athlete should not be adjusting to the coach’s anxiety. The coach should be adjusting to the athlete’s data.

That is the difference between real management and over-adjustment.

Sources Used

  • raw/_consumed/2026-05-31/kahunas-export/2026-05-31-w19-24m/clients/david_lamartina___members-tlssnsjthkmnhfqcscszce25acz_vhdm_x2_xdlpx_i.json
  • raw/Justin_TT1.txt
  • raw/_consumed/2026-06-02/_GRAS/gras_strategy_training.md
  • raw/_consumed/2026-05-26/troponiniq_kb.md