Expose assumptions and the conditions that would change a decision.
Three places to start
Provisional snapshot — pending final Iteration 15 replacement. Snapshot dated 2026-09-02. Awaiting independent audit; not the latest live analytical work or an independently certified release.
Media, platforms & capital allocation
A source-linked decision system connecting company histories, the current media landscape, transaction economics, streaming unit economics and governed capital allocation.
Contribution: Designed and governed by Kamal Babu Gokanakonda. AI-assisted research, modelling, coding, drafting and quality assurance under that direction.
Source-linked research · Scenario modeling · Decision and reversal traces
Overview, models, charts, evidence records, data views and the selected snapshot downloads.
Provisional snapshot — pending final Iteration 15 replacement. Independent release audit remains pending; scenario assumptions are not forecasts.
Task: Separate screened research-computing demand, dependency evidence and fallback cost assumptions before a readiness decision.
Contribution: Project direction by Kamal; AI-assisted implementation of an evidence-led extension alongside the original readiness and timeline lenses.
Inputs → processing → output: Synthetic capacity, stakeholder evidence and cost assumptions → ratio, freshness, dependency and fallback checks → review gates and wait-versus-fallback comparison.
What the reviewer can do: Change screened demand, capacity, dependency readiness or fallback cost; inspect recalculated ratios and explicit review issues.
Limits: Research-computing allocation scope. No commercial data-center forecast, validated stakeholder ranking, procurement approval, calibrated probability or realized outcome.
Email me with the role, the team, and the problem you want to evaluate. I can explain how I framed the work, walk through its evidence and assumptions, and discuss a practical assessment.