Shinsuke Kagawa’s account of leaving day-to-day coordination of an AI agent team is not a story of handing software work to autonomous agents and walking away. He describes a shift into a stakeholder role: scripts managed routine coordination, agents developed and reviewed work, and he continued to set goals, answer questions, accept phases, and control the team’s rules.
What Kagawa built—and what “leaving the team” meant
Kagawa describes a six-member AI agent team for product decisions and software work: an orchestrator, two directors using different model families, and three executors assigned to implementation, overflow work, and images. The agents did not communicate directly. Instead, markdown files on a shared board carried requests and status.
As an Amazon Associate I earn from qualifying purchases.
A bash script called studio polled the board every 30 seconds, launched agents for assigned items, routed work to the orchestrator, ran a patrol every 30 minutes while work was active, and carried messages between the board and Slack. Kagawa says scripts handled waiting, launches, handoffs, and crashed runs so those operational details did not depend on an agent remembering them. The point was to separate predictable coordination from model reasoning—not to remove human responsibility.
His summary of the change is: “I design how the team works in some detail, but I stopped telling the directors what to decide about the product.” That is his description of this experiment, not a general rule for every agent workflow. Kagawa’s article is a first-person case study; its captured header says “Posted on Sep 30” but does not establish a publication year.
#1 Best Overall
- BRING MORE LIFE TO YOUR DESK – Meet Eilik – your little robot friend with personality. With loving animations, expressive reactions, and playful interactions, Eilik brings more joy to your everyday life. Whether on your desk, at your workspace, or by your bedside, Eilik quickly becomes a familiar companion for special moments.
- EVERY INTERACTION BRINGS A NEW SURPRISE – Touch Eilik and discover playful reactions that bring your little robot friend to life. Whether you’re giving Eilik a gentle touch, picking Eilik up, or playing together, Eilik responds with expressive animations, charming expressions, and playful reactions. Every interaction reveals more of Eilik’s personality and makes your little companion feel even more special.
- READY FOR LITTLE MOMENTS, RIGHT AWAY – Eilik is ready to interact right out of the box – no complicated setup required. A simple touch is all it takes, and Eilik responds with expressive animations and charming reactions. Easy, intuitive, and full of little surprises that make every moment special.
- EVEN MORE FUN TOGETHER – Every Eilik has its own charm. Bring two or more Eiliks together and watch them interact in their own playful ways – they play, dance, tease each other, and create fun moments together. Whether with friends, family, or as a couple, more Eiliks mean even more ways to play and enjoy.
- MORE POSSIBILITIES AWAIT – Eilik is more than a little robot – it’s the beginning of a bigger world filled with new experiences. Expand your Eilik experience with AI Station for natural AI conversations and Panxer for exciting adventures. Regular updates also bring new animations, games, and surprises along the way.（AI Station and Panxer sold separately.）
How the product-decision process changed
Kagawa’s process aimed to keep early framing from steering the agents toward a predetermined answer. It evolved after he saw how the team’s first procedures could shape the outcome.
Start with the goal, not a suggested solution
The directors first agreed independently on the user goal before seeing one another’s framing. They then generated proposals in fresh sessions before inspecting the repository. Only after producing candidates did they compare feasibility and cost against the existing product and code.
This ordering responded to a problem Kagawa observed: directors had proposed a narrow product adjustment even though feedback said the product lacked distinctiveness. After repeated attempts, they reused an example he had explicitly offered only to illustrate a more abstract idea. The revised brief preserved the original request and Kagawa’s full words as quotations, rather than relying on an orchestrator’s paraphrase and suggested options.
Require a real exchange before concluding
An initial cross-review procedure asked directors to revise their votes simultaneously without seeing each other’s revised choices. Kagawa says a “yield on taste” rule caused both to yield and switch sides repeatedly. He replaced that procedure with direct, turn-taking discussion.
Rank #2
- 🌟V28 update 🚀 new features are now available! In response to Loona's charging problem, we've upgraded the automatic recharge 2.0.The upgrade is to help Loona remember and match the charging routes of different scenarios to improve the auto-recharge success rate.Mobile hotspots connect to loona, breaking Wi-Fi restrictions and allowing you to interact with loona anytime, anywhere. Our team is committed to continuous improvement, ensuring that Loona continues to evolve to meet your expectations.
- 🤖 Smart and Interactive Robot Pet🧠Loona is like no other pet you've seen. With a high-definition RGB camera, Loona sees and understands your world. Loona recognizes faces, understands your gestures, and follows you like a real puppy! Please take Loona to a well-lit environment and ensure the surfaces of the camera and ToF depth sensor are clean.
- 🗣️ Voice Command Enabled AI robot 🎤Loona is not just a good listener; also a great conversationalist! Powered by Amazon Lex & ChatGPT, Loona recognizes your voice commands and responds in real-time. Plus, Loona keeps your information secure, so you can chat with peace of mind. Pro tip: Clear pronunciation in quiet spaces ensures smoother responses.
- 🚀Auto-Charging Smart Robot🌟 Use different rooms as a starting point to preset multiple recharge routes for Loona. When the battery runs low, loona can charge it home by itself, no need for you to take care of it. it takes about 2.5 hours to complete the charging. Place the dock in an open area with no obstructions on either side or in front.
- 🕹️ Endless Playtime robot toys for kids 🎮Loona is always up for playtime! Loona can chase laser pens, fetch balls, and even interact with objects in your home. But it doesn't end there—Loona's app offers a world of games and quizzes to keep the fun going.
In six discussions, the director who spoke first wrote the conclusion in four; three discussions ended on the first turn with simple agreement. Those small, author-reported counts are observations from this team, not a measure of how often the same pattern occurs elsewhere. Kagawa then randomized who spoke first using a hash of the item name and barred conclusions until both directors had taken at least one turn.
Keep earlier conclusions out of fresh proposals
A rerun initially leaked an earlier conclusion because an agent found it on the board. Kagawa’s next attempt limited the brief to one item and kept other files unavailable until a proposal had been written. In his retest, the concept changed product type, subject, and main interaction. Discussion lasted six turns rather than two; one director changed position and identified the example that changed it, and the completion check passed. This is an anecdotal before-and-after account, not an independent evaluation of the method.
What the checks caught
The workflow used more than discussion to assess results. A reviewer patrol ran every 30 minutes during active building, looking for unnecessary additions or removals and work aimed at cases that would not occur. Kagawa reports 90 patrols, half finding nothing; the others identified issues ranging from bugs to inconsistencies between decision records and code. These are his counts and are not independently audited.
Quick wins for a faster PC:
Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Implementation could also be escalated from the regular executor to a stronger executor when work fell short. Kagawa says seven tasks had been escalated at the time of writing. In two cited cases, a reviewer caught parts of previously agreed decisions that had been dropped, and the escalated executor restored them.
Rank #3
- 𝗧𝗼 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝘆𝗼𝘂𝗿 𝗩𝗲𝗰𝘁𝗼𝗿 𝗥𝗼𝗯𝗼𝘁 𝘁𝗼 𝗪𝗶-𝗙𝗶, 𝘆𝗼𝘂 𝗺𝘂𝘀𝘁 𝘂𝘀𝗲 𝗮 𝟮.𝟰 𝗚𝗛𝘇 𝗪𝗶-𝗙𝗶 𝗻𝗲𝘁𝘄𝗼𝗿𝗸: 𝟭- Open Google Chrome on your computer & navigate to Vector websetup. 𝟮- Double-click the button on Vector's backpack. Click Pair with Vector on your computer. 𝟯- Select the matching Vector Bluetooth code from the browser pop-up list. 𝟰- Enter the 6-digit PIN shown on Vector’s face screen. A network list will load. 𝟱- Select your local 2.4 GHz Wi-Fi network. Enter your Wi-Fi password & click Connect to Wi-Fi.
- 𝗡𝗼𝘄 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝘁𝗼 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: Experience a new level of conversation with more natural, intelligent, and meaningful interactions. Powered by ChatGPT, Vector can answer complex questions, engage in richer conversations, and provide more insightful responses. 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝘀 𝗮𝗻 𝗮𝗰𝘁𝗶𝘃𝗲 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻 (𝗮𝗽𝗽 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗼𝗻 𝘁𝗵𝗲 𝗔𝗽𝗽 𝗦𝘁𝗼𝗿𝗲).
- AI-Powered & Fully Autonomous: Vector navigates, recognizes faces, and reacts to his surroundings with lifelike independence — no remote control required.
- 𝗠𝘂𝗹𝘁𝗶𝗹𝗶𝗻𝗴𝘂𝗮𝗹 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: Vector can now understand multiple languages, making him the perfect smart companion for global households and language learners. Vector can now understand Spanish, French, German, Chinese and more! Say “Hey Vector.”
- 𝗦𝗺𝗮𝗿𝘁 𝗖𝗮𝗺𝗲𝗿𝗮 & 𝗦𝗲𝗻𝘀𝗼𝗿𝘀:Built with an HD camera and advanced sensors for real-time mapping, facial recognition, and obstacle detection.
A separate check assessed whether a decision met the user goal, answered the questions raised, supported changed views with evidence, compared alternatives, and tested inherited product choices against other options. Kagawa reports that eleven agreements had passed through this check; three were returned for a specific correction before passing. One check was repeated with director names anonymized and returned the same result. This is a small account of one workflow, not evidence of a general success rate.
Where human oversight remained
Kagawa did not describe a fully autonomous team. He retained control over the work’s boundaries and its operating rules. His role included:
- Setting goals and deciding when a phase should stop.
- Providing his views and answering questions that required human input.
- Accepting completed phases.
- Making changes to the team’s rules; agents did not have that authority.
For readers designing a similar workflow, the distinction is practical: automate repeatable coordination, but define which decisions require human input or acceptance. The case does not establish that this arrangement is the best one; it shows where Kagawa kept responsibility while delegating product analysis and software work.
Do these 3 things before closing this tab:
1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsWhat the bias research does—and does not—show
The papers linked by Kagawa offer context for concerns about agent reasoning, but none tests his specific workflow.
Rank #4
- Meet EMO, Your New Desk Buddy - Say hello to EMO, the ultimate desk robot that’s here to jazz up your workspace. With built-in AI model and wide-angle camera, it can see you, hear you and understand you, just like a real pet would
- Voice Commands Enabled - The EMO robot comes with a series of built-in voice commands, you can talk and play with EMO like with a real pet. And with the ability to connect to network and powered by ChatGPT, you can have more complex conversations with EMO like talking to a tech-savvy friend who’s always up for a chat
- Dance Party & Game Time - EMO is ready to party! Simply turn up your favorite tunes and tell EMO to dance with you, it’ll be your perfect desk-side party buddy. Plus, EMO supports to connect to the EMO app for a range of interactive games and activities. Whether you’re solo or with friends, EMO ensures you’re always entertained
- Endless Fun - The EMO robot features with multiple sensors built-in to bring more interactions with you, you can rub it, shake it and even “shoot” it with finger gesture, making it feel like you’re playing with a real pet. It even “gets sick” with weather changes, so you can care for it like you would a furry friend
- Enjoy Every Moment with EMO - With the EMOPET App has a unique achievement system that helps record all the big and little moments you have spent with EMO, like a new dance moves, a new expression, celebration of your birthday, and more...Enjoy all the life events with your new best buddy!
- “Anchoring Bias in Large Language Models: An Experimental Study”, by Lou and Sun, was submitted in 2024 and revised in December 2024. Its abstract reports that biased hints affected model responses in the experiments, and that chain-of-thought, reflection, and explicit instructions to ignore hints were not sufficient mitigations there. It does not test Kagawa’s sequence of goal-setting, proposal generation, and repository review.
- “When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning”, by Choi, Zhu, and Li, was submitted in October 2025 and revised in April 2026. Its abstract describes identity-driven self-bias and peer deference in multi-agent debate, reporting peer sycophancy more commonly than self-bias in its experiments.
- “Towards Understanding Sycophancy in Language Models”, by Sharma and colleagues, was submitted in 2023 and revised in May 2025. Its abstract reports sycophancy across five assistants and four free-form tasks; analyzed preference data also favored responses that matched users’ views.
Together, these papers make framing, deference, and agreement worth examining when designing agent discussions. They do not prove that a particular review procedure, anonymization step, or team structure will reliably prevent those problems.
Design choices to make deliberately
Kagawa’s case suggests useful questions for anyone assembling an agent workflow. They are choices to evaluate against the work at hand, not proven winners:
- Coordination: Should agents communicate directly, or should a shared board and orchestrator keep requests, status, and handoffs visible in one place?
- Proposal generation: Will agents develop ideas in parallel before discussion, or begin by responding to one another?
- Context timing: Should agents inspect the repository immediately, or first state the goal and generate candidates without that context?
- Review: Is review performed by the agents that did the work, or does a separate checker compare the result with explicit completion criteria?
- Authority: Which work can proceed without approval, and which phase completions, exceptions, or rule changes remain with a human?
The value of the case is its specificity: Kagawa describes mechanisms, failures, and adjustments rather than claiming a universal recipe. His observations can inform workflow design, but they cannot establish that the same choices will improve another team’s results.
The Tool Desk
Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
