HOME / AI TOOLS & ORCHESTRATION | [TOOLS_INDEX // 04]
SYSTEM STATUS: 6 AGENTS DEPLOYED / RUNTIME: PROD-READY
BUILT, NOT BRIEFED

AI agents built to
make delivery faster.

A project manager who ships product builds product. Helm — my live AI orchestration app — plus a set of AI agents and n8n workflows that take the repetitive parts of running projects off the PM’s plate.

06
Agents In Production
Autonomous orchestration modules
03
Live n8n Daemons
Scheduled background workers
100%
Human-In-The-Loop
Verification gates on CRs & Comms
0ms
Untracked Hand-Offs
Auto-synced Jira / Slack / Git trace
01 // FLAGSHIP DEPLOYMENT · FULL-STACK ARTIFACT
LIVE PRODUCT · AI ORCHESTRATION
PROJECT CODE: HELM-CORE-01

Helm — An AI command center that runs the project — not just tracks it.

A web app I designed and shipped end to end (live on Vercel). Helm brings AI into the heart of delivery: one workspace that orchestrates tasks, teams, and status across a project, turning the coordination a PM normally does by hand into an assisted, repeatable flow.

OPERATIONAL DISCIPLINE // HOW IT WORKS
  • check_circle Centralises scope, tasks and status in one AI-aware workspace with unified state synchronisation.
  • check_circle Uses AI to coordinate the moving parts and surface what needs immediate senior attention next.
  • check_circle Built and deployed full-stack — from conceptual design system to a resilient running product.
Deployment Status Live product — designed, built & deployed end to end
HELM // TELEMETRY CONSOLE v2.4
NODE: AP-SOUTHEAST-1
VELOCITY VS SPRINT CONSUMPTION 98.2% SYNC
DAEMON: SPRINT_HEALTH_CRON
ACTIVE (POLL 15s)
INTEGRATION: LINEAR + SLACK
HOOKED & ROUTING
AGENT: RETRO_AUTOCLUSTERING
STANDBY FOR CYCLE
HOST: VERCEL EDGE RUNTIME ALL SYSTEMS NOMINAL
AUTONOMOUS DELIVERY UTILITIES

Specialized AI Agents Suite

Tested across enterprise scale. Each agent isolates a specific PM manual friction point, automates the heavy-lifting, and hands the structured draft back for human verification.

02 // AI AGENT AI Agent

Scope & Requirements Agent

Turns messy client inputs into structured user stories and acceptance criteria.

Takes raw client inputs — emails, call notes, briefs — and drafts the first-pass scoping document: user stories, acceptance criteria and effort buckets. What I do by hand on a discovery, done as a first draft in minutes.

OPERATIONAL PIPELINE:
  • Ingests raw inputs — emails, call notes and briefs.
  • Structures them into user stories, acceptance criteria and effort buckets.
  • Drafts the first-pass scoping doc for the PM to refine.
IMPACT: Hours saved per engagement on discovery and scoping.
Try it live ⌘/Ctrl + Enter
Your input (Scope & Requirements Agent):
03 // AI AGENT AI Agent

Meeting Intelligence Agent

Transcribes meetings, extracts action items, and pushes tasks to the tracker.

Pairs transcription (Otter.ai / Deepgram) with Claude for extraction and n8n to push tasks straight into the project tracker — owners assigned, nothing lost in the notes.

OPERATIONAL PIPELINE:
  • Transcribes the meeting automatically.
  • Extracts action items and assigns owners.
  • Pushes tasks directly into Jira, Asana or Linear.
IMPACT: Action items land in the tracker, not a forgotten doc.
Try it live ⌘/Ctrl + Enter
Your input (Meeting Intelligence Agent):
04 // AI AGENT AI Agent

Client Communication Drafter

Drafts client-ready emails, reports and change-request replies in the right tone.

Given project context and recent updates, it translates internal dev-speak into clear, client-friendly updates — the first draft of every weekly report, status email and change-request response.

OPERATIONAL PIPELINE:
  • Reads project context and recent updates.
  • Drafts emails, weekly reports and CR responses in the right tone.
  • Leaves the PM to review and send — not write from scratch.
IMPACT: The tone-translation tax on client comms, removed.
Try it live ⌘/Ctrl + Enter
Your input (Client Communication Drafter):
05 // AI AGENT AI Agent

RFP / Proposal Assistant

Reads an RFP — even in another language — and drafts mapped proposal sections.

Ingests an RFP (including multilingual ones, like an Arabic Oman tender), extracts every requirement, maps them to a capability matrix, and drafts the proposal sections — a pain point I have lived through, automated.

OPERATIONAL PIPELINE:
  • Ingests the RFP and extracts each requirement.
  • Maps requirements to the capability matrix.
  • Drafts proposal sections ready for refinement.
IMPACT: Faster, more complete proposals — in any language.
Try it live ⌘/Ctrl + Enter
Your input (RFP / Proposal Assistant):
06 // AI AGENT AI Agent

Retrospective Analyst

Collects retro feedback, clusters themes, and drafts real improvement items.

Gathers retro input asynchronously via form or Slack, clusters recurring themes across sprints, and drafts actionable improvements — so the insights live and get acted on instead of dying in a doc.

OPERATIONAL PIPELINE:
  • Collects feedback async via form or Slack.
  • Clusters themes and spots patterns across sprints.
  • Drafts actionable improvement items.
IMPACT: Retro insights that survive past the meeting.
Try it live ⌘/Ctrl + Enter
Your input (Retrospective Analyst):
AUTOMATION LIBRARY // SCHEDULED & BACKGROUND DAEMONS

n8n workflows for delivery

The always-on side of the toolkit — scheduled workflows and background daemons that watch the project and act, so the PM doesn’t have to. Each one replaces a task a person used to do by hand.

DAEMON #01 SCHEDULED · LIVE IN N8N

Standup & Status Agent

Jira / Linear + Slack + Git → Claude summarise → Detect blockers → Standup / status report

Pulls updates from the tracker, Slack threads and Git commits, then generates the daily standup or weekly status report — with blocker detection and auto-escalation nudges built in.

Replaces: Chasing "what happened yesterday" by hand.
download Download n8n workflow (.json)
DAEMON #02 SCHEDULED · LIVE IN N8N

Risk & Dependency Tracker

Tracker API → Velocity analysis → Predict bottlenecks → Alert the PM

Less chatbot, more background daemon: it monitors task dependencies, flags slipping timelines, and predicts bottlenecks from velocity trends — alerting before things go red.

Replaces: Finding out a timeline slipped only once it is red.
download Download n8n workflow (.json)
DAEMON #03 SCHEDULED · LIVE IN N8N

Resource & Capacity Planner

Allocation data → Detect overcommit → Suggest rebalance → Notify the PM

Tracks team allocation across concurrent engagements, flags overcommitment, and suggests rebalancing — built for running multiple APAC / EMEA / US projects at once.

Replaces: Spreadsheet capacity juggling across projects.
download Download n8n workflow (.json)
info These three are imported and live in a running n8n instance, not just theoretical diagrams. Endpoint URLs and credentials are left as placeholders to wire into your stack.
PROOF OF EXECUTION · RUN #972

Not a mockup — this actually ran

A live AI agent in n8n took raw standup notes on the left and produced the summary on the right — a real model call, real output, in seconds.

INPUT — RAW TEAM UPDATES RAW STRING DUMP
- SSO integration finished in staging; waiting on the client AD team to whitelist our callback URL.
- Bulk user import fails for users with no manager field; skip & log; fix Thursday.
- Legal still reviewing the data-processing addendum; expected next week.
- UAT still targeted for the 30th.
PAYLOAD: INGESTED VIA WEBHOOK #WH-8841
OUTPUT — AI AGENT SYNTHESIZED IN 4.1s
Standup Summary:

SSO integration is complete in staging, and the team is on track for UAT on the 30th. A fix for the bulk-import bug ships Thursday, with a temporary “skip and log” workaround in place.

Identified Blockers:
  • • SSO production access: waiting on the client AD team to whitelist the callback URL.
  • • Contractual approval: waiting on Legal to finish the data-processing addendum review.
ENGINE: GEMINI-1.5-FLASH TOKEN YIELD: 114 OUT PIPELINE: SUCCESS

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