JupiterGoals AI Blog
Engineering blueprints on AI-driven software architecture, alongside deep dives into habit psychology and adaptive goal planning.
Showing all 27 articles
- • Jupiter Tecson Latest5 min read
Motion vs. Sunsama vs. Reclaim vs. Griply for Personal Goals: Why Work Schedulers Starve Your Life After 6 PM
Motion, Sunsama, Reclaim, and Griply each solve a slice of scheduling, yet personal goals still die after 6 PM. Here is why corporate calendar blockers starve your evening hours and what works instead.
Read article → - • Jupiter Tecson6 min read
When Bigger AI Models and High Thinking Modes Score Worse
What 500+ structured output benchmarks across Google Gemini, OpenAI GPT-6, and Anthropic Claude 5 taught me about overthinking, token overhead, and why a blind 'read it out loud' check matters.
Read article → - • Jupiter Tecson6 min read
Why OpenAI’s "LifeVal" Proves Chatbots Can’t Carry Your Goals (And What Does)
OpenAI's new LifeVal benchmark (built from nearly 4,000 people's real time use) shows AI agents jumping from 49% to over 80% on everyday life admin. Here is where LifeVal stops, why personal goals still break in Week 2, and the 3 rules that carry them.
Read article → - • Jupiter Tecson4 min read
Why Using ChatGPT as a Daily Goal Planner Fails by Wednesday (And What Works Instead)
ChatGPT writes a brilliant 12-week roadmap on Sunday night and forgets it by Wednesday morning. Why stateless chat threads, prompt fatigue, and rolling Markdown save-files fail daily execution, and how a pre-wake stateful engine fixes it.
Read article → - • Jupiter Tecson7 min read
Forecasting AI Agent Build Time: Using Git History and Task Graphs to Pick Your Parallel Lanes
When LLMs write most of the code, you lose the line-by-line feel for how long work takes. Here is how solo builders and technical leaders can use a task dependency graph (DAG) and git log to forecast build time and parallel lane counts across 412 finished tasks.
Read article → - • Jupiter Tecson6 min read
Scaling Loop Engineering: Running Parallel AI Clones on Trunk Without git worktree
Once a single /goal loop can build one spec autonomously, how do you run multiple specs in parallel? Here is why git worktree failed my trunk-based monorepo, and how full clones coordinate on main using atomic git push locks and file-disjoint tasks.
Read article → - • Jupiter Tecson5 min read
From Prompt Engineering to Loop Engineering: Why /goal Beats Babysitting AI Agents
Why prompt engineering hits a ceiling, how AI development evolved across 5 stages from code snippets to autonomous verification loops, and how to write quantifiable /goal prompts in Antigravity CLI and Claude Code.
Read article → - • Jupiter Tecson6 min read
Duolingo's Streak Is Brilliant. That's Why JupiterGoals Won't Have One
Duolingo's streak and its judging owl are brilliant at getting you to open the app. They are much worse at getting you to your goal. Goodhart's law, the what-the-hell effect, and the 3 rules JupiterGoals uses instead.
Read article → - • Jupiter Tecson5 min read
Missed a Day and Never Got Back on Track? It's the Plan, Not You
Most goals don't fail on day one. They fail the day after a miss. A simple 3-part model for getting back on track, and why it changed what JupiterGoals is.
Read article → - • Jupiter Tecson6 min read
Codex vs Claude Code vs Antigravity CLI: Which AI Coding Agent Is Worth It?
I ran three AI coding harnesses side by side on their entry-level plans. One burned through my limits fastest and still needed the most retries. Here is what I saw, why it happens, and the harness-agnostic setup I'm sticking with.
Read article → - • Jupiter Tecson8 min read
Why I Don't Persist Technical Specifications
When refactoring my entire backend and worker architecture to asynchronous serverless tasks, I didn't write a technical spec. Here is why separate technical specs are an anti-pattern, and the 7 homes where technical truth actually lives.
Read article → - • Jupiter Tecson6 min read
Faster, Cheaper, and Totally Broken: Why We Abandoned Local AI
Our $0 local SLM stack beat cloud APIs on speed, but failed 68% of pre-launch tests. Here is why we pivoted to single-pass frontier models—and the 3-stage architecture lifecycle.
Read article → - • Jupiter Tecson4 min read
The Spec Is Permanent, the Plan Is Garbage
How splitting the what from the how - and draining each plan back into the spec before deleting it - kept our specs true enough for AI agents to build from, and which automated gates actually hold the line.
Read article → - • Jupiter Tecson5 min read
Why Static Planners Fail: Building Context-Aware Habit Tracking
Why rigid programs like 75 Hard break on real weeks, why bossy sleep scores backfire, and how 'Asked, never told' sizing and a 2-minute floor keep goals moving.
Read article → - • Jupiter Tecson4 min read
Integrating Stripe & Building the Onboarding Phase
How I integrated Stripe to build a privacy-first billing and onboarding architecture without storing sensitive payment data.
Read article → - • Jupiter Tecson4 min read
Mastering Agent Optimization & Subagents
The meta-game of AI coding: optimizing context windows, utilizing M2M subagent communication, and finding the best models for UI generation.
Read article → - • Jupiter Tecson3 min read
Learnings & Struggles with Agent-Based Development
Diving into the technical hurdles of AI coding: from Spring Modulith async struggles to context optimization, Claude Code comparisons, and shared agent directives.
Read article → - • Jupiter Tecson3 min read
Transitioning to Agent-Based Development
How we shifted to agent-based development with Antigravity CLI to build faster while keeping our AI costs at zero, plus the reality and struggles of adopting AI.
Read article → - • Jupiter Tecson2 min read
How to Build Habits That Actually Stick (Using Commitment Boosts)
Motivation is fleeting. Learn how I use external accountability and non-monetary in-app Pledges to follow through when the novelty wears off.
Read article → - • Jupiter Tecson3 min read
Why Traditional Goal Setting Fails (And What to Do Instead)
Setting massive goals often leads to paralysis. Discover why 'tiny habits' are the secret to overcoming the overwhelm trap.
Read article → - • Jupiter Tecson3 min read
Books That Shaped the JupiterGoals Philosophy
A look at the foundational literature that inspired the system design behind our AI habit tracker.
Read article → - • Jupiter Tecson3 min read
Design Updates & Pivoting
A look behind the scenes at how user feedback shaped the UI, the radar chart, and the core mechanics of JupiterGoals.
Read article → - • Jupiter Tecson6 min read
How I Built a $0 AI-Powered SaaS: The 2026 Scale to Zero Blueprint
While building JupiterGoals, I wanted to leverage the power of AI while keeping costs at an absolute minimum ($0 if p...
Read article → - • Jupiter Tecson3 min read
Building the JupiterGoals Landing Page: Journey & Tech Stack
Building a landing page for JupiterGoals required choosing the right tool for the job. While there are many ways to s...
Read article → - • Jupiter Tecson5 min read
From Idea to Internet Address
In my first post, I made a post to build JupiterGoals - a tool to solve a problem I know intimately. The first step to ...
Read article → - • Jupiter Tecson3 min read
My hardest project isn't for a corporation. It's for my life
There's a question that starts as a whisper and grows into a roar over time: **Am I living a life I won't regret?**...
Read article → - • Jupiter Tecson2 min read
About Me: The Story Behind JupiterGoals
Hello, I'm Jupiter, and I'm the engineer and founder behind JupiterGoals....
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