10 Opportunities to Build Additional Value¶
Each opportunity is rated by impact (potential value), effort (how much work to set up), and readiness (how close we are to having what we need). Ranked roughly by impact-to-effort ratio.
1. Consultancy Service Offering Document¶
Impact: π΄ Critical β Effort: Medium β Readiness: 70%
Create a concrete service catalogue that translates your AE expertise into marketable offerings. This is the single highest-value asset for the consultancy pivot β without it, you have skills but no clear product.
What it is: - 3β5 defined services (e.g., dbt migration, Snowflake cost optimisation, data maturity assessment, pipeline reliability audit, AE team setup advisory) - Pricing tiers (day rate vs. project rate vs. retainer) - Case study frameworks (anonymised Jaja Finance experience) - Target client profiles (SMEs scaling past spreadsheet analytics, fintechs, mid-market with legacy BI)
Why now: The data principles doc we just created is the knowledge backbone. The service offering is the commercial front-end. Together they're the foundation of a consultancy.
Next step: Interview you on which services excite you most, then draft the catalogue.
2. Workout Lifecycle Bug Fix β Pending Status Pipeline¶
Impact: π High β Effort: Medium β Readiness: 80%
The workout bug identified today (proposed β completed lifecycle never writes proposed status to DB) is a real functional gap. Right now proposals are ephemeral Discord messages β if you skip a session, the system can't tell what was planned vs. what happened.
What it needs:
- build_workout_proposal() writes a proposed workout_log + exercises to DB
- Roll-forward logic preserves session type (skipped push β next training day gets push)
- Morning cron checks for skipped sessions in last 7 days
- Tests before deployment (your rule)
Why now: You're training daily. Every day without this, the system drifts. It also affects the adherence tracking you asked for.
3. Client-Ready Case Study Pack¶
Impact: π΄ Critical β Effort: Low β Readiness: 60%
Anonymised write-ups of real problems you've solved. These are your trust signals β far more powerful than certifications or blog posts.
What it is: - 3β5 case studies from Jaja Finance work (Coalesceβdbt migration, Alteryx migration, AE team leadership, BI tool evaluation, cost optimisation) - Each follows a standard format: Situation β Approach β Outcome β Lessons - Written to be shareable (no Jaja-confidential specifics) - Stored in Obsidian vault, ready for website/proposal insertion
Why now: You already have the raw material in ~/context-portfolio/domain-knowledge.md. Extraction and polishing is low effort, high impact.
4. Automated Weekly Progress Report to Discord¶
Impact: π High β Effort: Low β Readiness: 90%
A weekly cron that synthesises everything happening across goals, fitness, projects, and work into a single Sunday morning report card.
What it is: - Pulls from: fitness adherence log, bio-bridge data, context portfolio changes, cron job successes/failures, news briefing stats - Delivers to your Discord updates channel - Includes a "what's stuck / needs your input" section - Tracks week-over-week deltas (weight trend, training volume, project commits)
Why now: We have all the data pipelines. We're just not synthesising the cross-domain view. This gives you a single place to see progress every week.
5. Data Maturity Assessment Tool¶
Impact: π΄ Critical β Effort: High β Readiness: 40%
A repeatable framework you can take to prospective consultancy clients to assess where they sit on the data maturity curve and what the highest-impact interventions are.
What it is: - Scoring rubric across 5 dimensions: Data Quality, Governance, Architecture, Automation, Analytics Adoption - Each dimension scored 1β5 with concrete observable criteria - Auto-generates a prioritised recommendation report - Starts as a questionnaire (could be a simple web form or even a Discord-based interview flow) - Aligns directly with the data principles we just created
Why now: This is the hook that gets you through the door. "Free data maturity assessment" is a proven consultancy lead-gen technique. The principles doc gives it depth.
6. GitHub Profile & Portfolio Overhaul¶
Impact: π‘ Medium β Effort: Medium β Readiness: 70%
Your GitHub (ParrottPy) should be a living portfolio that demonstrates your AE expertise, not just a dumping ground for personal tools.
What it is:
- Pinned repos: personal-context-portfolio (already exists), bio-bridge (showcases dbt patterns, testing, ELT), plus a new data-engineering-patterns or ae-playbook repo
- README.md on profile page: professional bio, skills matrix, links to case studies
- Consistent repo documentation (README, contributing guide, architecture diagrams)
- dbt project structure showcase (could be a synthetic example repo)
Why now: When prospects Google you (and they will), your GitHub is often the first result. It should tell a clear story.
7. Morning Briefing β Podcast Pipeline Hardening¶
Impact: π‘ Medium β Effort: Low β Readiness: 85%
The Gemini TTS podcast pipeline was built today but hasn't had its first live 7am run yet. It needs hardening before it's reliable.
What it needs: - Monitor tomorrow's 7am live run and verify audio quality - Add error handling: if TTS fails, still deliver text briefing (already implemented but untested in prod) - Add duration guard: if audio >15 min, truncate or warn - Track quota usage per run (Gemini API spend) - Consider adding the podcast to the evening scan too
Why now: Tomorrow's 7am run is the real test. If it works, great. If it doesn't, we fix it fast. Either way, a production monitoring loop closes the feedback gap.
8. Financial Independence Coach β Complete the Onboarding¶
Impact: π‘ Medium β Effort: Low β Readiness: 50%
The fi-coach project exists at ~/projects/fi-coach but is stub templates only. Complete the onboarding so it can start producing real projections.
What it is:
- Fill in profile.md with your actual financial data (income, expenses, debts, assets, mortgage details)
- Fill in plan.md with the Β£200k mortgage payoff goal and timeline
- Set up a scheduled coaching check-in (weekly or monthly)
- The tool can then produce compound growth projections, FIRE date estimates, and milestone tracking
Why now: The memory notes say your goal is Β£200k mortgage payoff in 5 years. Having the FI coach actually running gives you data-driven accountability on that, not just vibes.
9. Body Weight Trend Tracking for Recomp¶
Impact: π‘ Medium β Effort: Medium β Readiness: 60%
Your memory explicitly calls out "Remaining: body weight trend tracking for recomp" β this is the last unimplemented piece of the fitness tracking system.
What it is:
- Extend bio_bridge.db with a weight_trends table
- Ingest Fitbit/Google Health weight data (already flowing through the pipeline)
- Calculate 7-day rolling average, trend direction, and recomp signal (weight stable/decreasing + strength increasing)
- Surface in the morning workout proposal: "π Weight trend: -0.3kg/week, on track"
- Add to weekly progress report (opportunity #4)
Why now: You weigh every 2 days via Fitbit. The data's already in the pipeline. The visualisation and trend analysis is what's missing. This closes the loop on the tracking system.
10. Tem Interview β Preparation Pack¶
Impact: π΄ Critical (near-term) β Effort: Low β Readiness: 30%
You mentioned Tem (UK AI energy procurement platform) as an interview target. Staff AE role. A structured prep pack gives you an edge.
What it is: - Company research: founding story, funding round, product, competitors - Role analysis: AE at an AI company β how does it differ from Jaja? - Likely interview questions + STAR-structured answers based on your experience - Questions to ask them (culture, team size, technical stack, growth trajectory) - 30-60-90 day plan draft
Why now: Career stuff is time-sensitive. If the JD is incoming, you want to be ready before it arrives, not scrambling after.
Summary¶
| # | Opportunity | Impact | Effort | Readiness |
|---|---|---|---|---|
| 1 | Consultancy Service Offering | π΄ Critical | Medium | 70% |
| 5 | Data Maturity Assessment Tool | π΄ Critical | High | 40% |
| 10 | Tem Interview Prep Pack | π΄ Critical | Low | 30% |
| 3 | Client-Ready Case Study Pack | π΄ Critical | Low | 60% |
| 2 | Workout Lifecycle Bug Fix | π High | Medium | 80% |
| 4 | Weekly Progress Report | π High | Low | 90% |
| 7 | Podcast Pipeline Hardening | π‘ Medium | Low | 85% |
| 6 | GitHub Profile Overhaul | π‘ Medium | Medium | 70% |
| 8 | FI Coach Onboarding | π‘ Medium | Low | 50% |
| 9 | Body Weight Trend Tracking | π‘ Medium | Medium | 60% |
My recommendation for tomorrow: Start with #10 (Tem prep) since it's time-sensitive, then #7 (podcast hardening) after the 7am live run, then pick up #1 (service offering) as the main consultancy workstream.
Related¶
- [[Hermes Vision]]
- [[Data-Principles-for-Analytics-Engineering]]
See also¶
- [[Context Portfolio]]