I'm a solo entrepreneur. That means I'm the CEO, the product owner, the developer, the QA team, and the person who has to decide every single week what's most important to work on next.
For a long time, that last part — deciding what's most important — was quietly eating my week alive.
I've spent my career inside large companies and startups, living inside the SDLC, watching how product teams prioritize (and fail to prioritize) work. I've seen the good systems and the bad ones. So when I went out on my own and started building solo, I knew the risk: without a process, without structure, without someone else to hold you accountable to a roadmap, it's very easy to just work on whatever feels most urgent or most exciting on any given Monday. That's not a product strategy. That's just chaos with a to-do list.
The answer I landed on was to build a ClickUp Super Agent — a Director of Product Engineering Agent — that runs every Sunday at 1 AM and does what used to take me hours of mental overhead: prioritize my backlog, score every task, and propose a sprint before I sit down to start my week.
Here's how it works and why it's changed the way I build.
The Real Problem: I Was the Bottleneck
When you're a team of one, there's no one to push back on your priorities. No standup to keep you honest. No product manager asking whether the thing you spent Tuesday on actually moves a goal forward. It's just you, your backlog, and the constant temptation to either overplan or underthink.
The administrative side of product work — grooming tasks, writing acceptance criteria, scoring features, aligning everything to goals — is genuinely valuable work. But when I was doing it manually, it was also the work that kept me from actually building. I needed to push that overhead to an agent so I could show up on Monday and just focus on the tasks in front of me.
There was a second problem underneath the first one, though: I wasn't writing my ideas down well enough. A feature described as "improve onboarding" isn't a feature — it's a vague intention. The agent forced me to change that.
What the Agent Requires (and Why That's the Point)
To be scored and surfaced by the agent, every task has to be properly documented. That means a clear why, a defined end result, acceptance criteria, user impact, technical risk, effort estimate, and dependency count. If any of those fields are missing, the agent comments on the task and flags it for completion before it can enter the priority queue.
This requirement has been one of the most valuable side effects of the whole system. It's made me a better product owner. When I have to write down not just what I want to build but why it matters, what success looks like, and how complex it is — I think more clearly about the work. Vague ideas don't survive the intake process. They either become real, well-defined tasks or they fall away, which is often the right outcome anyway.
It also keeps my Product Owner instincts sharp. Writing thorough feature descriptions, use cases, and acceptance criteria is a skill. Using an AI agent that requires that rigor keeps me practicing it consistently, even when I'm working alone with no one to review my thinking.
Thinking Like a CEO, Not Just a Builder
One of the structural decisions I made was to anchor the agent entirely to ClickUp Goals. Everything the agent manages has to be tied to a (Tech) goal with a real target date. Tasks that aren't connected to a goal simply don't exist in the agent's world.
This was intentional, and it's changed how I plan at the top level. When I set goals in ClickUp, I'm not just organizing tasks — I'm thinking like a CEO. What are the three or four things that actually move my product and business forward this quarter? What needs to ship by when, and why? What am I willing to defer?
Right now the agent owns three goals:
- (Tech) Goal A — Due March 1, 2026
- (Tech) Goal B — Due March 10, 2026
- (Tech) Goal C — Due April 5, 2026
Every piece of work traces back to one of those goals, and the agent prioritizes everything in order of those deadlines. The soonest goal gets first priority. It's a forcing function that keeps me from building in circles and helps me stay in the strategic mindset that solo builders often sacrifice when they get too deep in the weeds.
The Agent Recommendations List: My 25-Item Focus Window
The core output of the agent is the Agent Recommendations List — a living, always-current list of the top 25 highest-priority tasks across all my (Tech) goals. This is the only list I need to look at to know what I should be working on.
The agent scores every feature using this formula:
Priority Score = (User Impact × 3) + (Technical Risk × 2) + (Effort) + (Dependency Count × 1)
After scoring, tasks are sorted first by goal target date, then by score within each goal. The result is an ordered, objective list that tells me — without any debate — where my effort should go next.
A few rules keep the list honest:
Only 25 items, always. If I don't have 25 eligible tasks, the agent creates a placeholder with a due date of the upcoming Friday. That's a small but useful nudge: if the pipeline is thin, I need to be generating and documenting more work.
Blocked tasks stay on the list. I don't hide blocked items. If a blocker climbs into the top 10, the agent raises a risk flag. That forces me to deal with it rather than work around it indefinitely.
No manual overrides. If I want a task higher on the list, I either improve its underlying data or I accept that my gut feeling isn't worth more than the scoring model. This is the rule I pushed back on least, because I know from experience how easy it is to rationalize yourself into bad priorities.
The Weekly Sprint Proposal
Every Sunday at 1 AM, after the list is refreshed and scored, the agent builds a sprint proposal directly from the top of the Agent Recommendations List:
- Top 3 Features from the goals with the earliest target dates
- Top 2 Bugs from the same goals
- Carry-forward items from the previous sprint
- 1 "Cut This" suggestion — something to deprioritize or drop
The agent doesn't create the sprint. It proposes. I review it Monday morning, make any final calls, and start my week with a clear, pre-reasoned plan rather than a blank backlog and a set of competing instincts.
The "Cut This" suggestion is underrated. Having the agent surface one thing to drop each week has been a consistent check on scope creep. When you're building solo, it's tempting to keep everything in play. The agent is a useful voice that says: you can't do everything, so here's one thing to let go of.
Using AI to Multiply My Efforts
This is the core idea behind everything I'm building: as a solo entrepreneur, I can't hire a product team. But I can architect systems that act like one. The agent isn't replacing my judgment — it's doing the administrative infrastructure around my judgment so I can spend my time on what actually requires me.
I came out of the enterprise world where there are whole departments for this. Scrum masters, product managers, program managers, sprint coordinators. That overhead exists for a reason. It's just that when you're on your own, you can't afford it in people. You have to build it into your tools.
The goal was never to automate my thinking. It was to automate the scaffolding around my thinking — the scoring, the sorting, the list maintenance, the sprint framing — so that when I sit down on Monday, the structure is already in place and I can just execute.
What's Next
I'm looking at expanding the agent's scope to include cross-goal dependency tracking and more nuanced risk escalation — for example, flagging when a chain of blocked tasks threatens a target date before it becomes a crisis.
I'm also thinking about capacity. Right now the proposal tells me what's highest priority, but not whether it's actually achievable in a week given my other commitments. Adding a capacity layer would make the proposals even more actionable.
For other solo builders, indie hackers, or anyone who's come up through the SDLC and knows how product development should work — this kind of agent-driven approach is worth exploring. The system isn't complicated. The hard part is being disciplined enough to write your tasks properly, set real goals, and trust the model.
Once you do, you stop managing your backlog and start building your product.
Built on ClickUp. Runs every Sunday at 1:00 AM. All scoring, list management, and sprint proposal generation happen in a single automated weekly run.
Top comments (0)