Public:Pylot.AI

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Revision as of 23:50, 10 January 2024 by Anand Sathiyaseelan (talk | contribs) (Created page with " === Introduction === '''W3 Summary''' '''Who''': '''What''': '''Why''': ==== Team ==== Project Manager: TBD Conversation Designer: - TBD Engineers: TBD ==== Requirements Engineering ==== Legends : ✅ - Completed | ⌛ - InProgress | ❌ - Not Started | ⚠️ - Blocked {| class="wikitable" !Deliverables !Description !Priority !DueDate !Status !Link !Budget !Invoiced |- |Milestone 1 | |High | |❌ |Click here | | |- |Milestone 2 | |High | |❌ |Click here | |...")
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Introduction

W3 Summary

Who:

What:

Why:

Team

Project Manager: TBD

Conversation Designer: - TBD

Engineers: TBD

Requirements Engineering

Legends : ✅ - Completed | ⌛ - InProgress | ❌ - Not Started | ⚠️ - Blocked

Deliverables Description Priority DueDate Status Link Budget Invoiced
Milestone 1 High Click here
Milestone 2 High Click here
Milestone 3 High Click here
Milestone 4 High Click here

UX

Product Design

Not available

Data

List of documents by Clients

  1. Proposal document

Gitlab (Engineering)

Link to the Miltestones

Link to the JIRA Scrum Board

Viability Check

Task Title[1] Human Demo[2] Value[3] Effort / Viability[4] Status[5] AI Demo[6] Release
-

Architecture

Technical Architecture - Draw.IO chart

Features ADR
link
link
link
link
link

Coding

QA

Initial QA Checklist - here

JIRA QA Report - here

References

  1. List down here the Task that a Human currently performs. When listing down a task, try to break your "human task" into as small tasks as possible
  2. URL of a video recording that shows how currently human would do this task
  3. Value as of "Value in Lean Priortization" in https://hackernoon.com/6-prioritization-techniques-to-make-you-stop-working-on-the-wrong-stuff-646cc6429edc
  4. Effort as of "Effort in Lean Priortization" in Value as of "Value in Lean Priortization" in https://hackernoon.com/6-prioritization-techniques-to-make-you-stop-working-on-the-wrong-stuff-646cc6429edc
  5. Viability Check - Status Feasible : The AI solution is deemed feasible based on the analysis of technical, economic, and strategic factors. Not feasible : The AI solution is determined to be not feasible due to technical limitations, resource constraints, or other relevant factors. Theoretically possible : The AI solution shows potential based on theoretical considerations, but further research, testing, or validation is required to confirm its feasibility Not proven: The feasibility of the AI solution has not been established due to a lack of empirical evidence, practical implementation, or sufficient data
  6. Proof of Concept from Engineering. On how reliably is AI able to do this task