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Working internal platform

From intent
to a checked deliverable.

DropKit / DK2 coordinates AI-assisted software work through plans, builds, evidence and independent review. This case describes a bounded internal delivery trial.

Project
DropKit / DK2
Maturity
Active development
Evidence
Internal accepted-app trial
  1. 01Intent
  2. 02Plan
  3. 03Build
  4. 04Check
  5. 05Review
  6. 06Export
CHECKED CANDIDATEIndependent reviewRecorded test runsExport matches reviewed files

ILLUSTRATIVE METHOD / NO CUSTOMER RECORDS

The situation

Software construction spans more than one prompt or coding session. Plans change, attempts fail and a new builder needs to know which candidate is actually being reviewed.

What mattered

The project needed durable records of decisions, attempts, failures and review outcomes. A deliverable had to remain tied to the files that were checked.

What I built

I built a local platform workflow for bounded AI-assisted work: planning, implementation, verification, independent review and export, with project state preserved between steps.

What the trial showed

A documented internal trial took a small app through independent review and a checked export. Saved test records and the delivery evidence connect that result to the accepted candidate.

This is a specific internal proof. Development continues on the wider platform, reliability and recovery workflow; the successful trial does not imply that every later candidate has been accepted.

What this demonstrates

Practical software construction, workflow orchestration and evidence management. I can build the mechanism that keeps an AI-assisted delivery inspectable, as well as the application inside it.

EVIDENCE & MATURITY

Internal delivery evidence dated September 2026 records an accepted small app, test runs and a matching export. Current platform records also show ongoing development. This is not a commercial release or a general autonomous-delivery guarantee.

See current build maturity
Related governed AI capabilities

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