What we learned in week 1 — an honest retrospective

Klow launched on March 4, 2026. This is what the first seven days actually looked like — not the highlight reel, but the full picture.

The numbers

• →{totalAgentsDeployed} agents deployed by {uniqueUsers} users
• →{totalTransactions} on-chain transactions executed across {chainCount} chains
• →{tokensChecked} tokens checked, {risksFound} risks flagged
• →{totalCredits} credits consumed — average {avgCreditsPerAgent} per agent per day
• →{uptimePercent}% API uptime (target was 99.5%)

These numbers are modest. We are not pretending otherwise. But every one of them represents a real agent doing real work for a real user.

What worked

The template system landed exactly right. {templatePercent}% of users picked a template instead of starting from scratch. DeFi Scout was the most popular by a wide margin — turns out "is this token safe?" is the first question everyone asks.

Daily digests drove retention better than we expected. Users who received morning Telegram summaries came back {digestRetentionMultiple}x more often than those who did not. Knowing what your agent did overnight keeps the relationship alive.

The /live page converted better than any landing page copy. Watching real agents work in real time is more convincing than any feature list. {liveEmailCaptures} email signups came directly from /live.

What broke

Provisioning was our biggest pain point. Render cold starts meant some agents took {maxProvisionTime} to boot — way past the 60-second promise. {provisionFailureCount} deploys failed outright and needed manual intervention. We shipped auto-retry (B-022) on day 2 and auto-rollback (D-049) on day 3, but the first 48 hours were rough.

Credit estimation was off. Our "DeFi Scout costs ~$12/month" estimate assumed moderate usage. Power users burned through credits {creditBurnMultiple}x faster than projected. We adjusted pack pricing on day 4 and added better burn-rate visibility in the dashboard.

Telegram bot token setup confused everyone. Even with step-by-step instructions, {botTokenFailPercent}% of users entered their token incorrectly on first attempt. The @KlowBot shared-bot approach (shipping in week 2) should eliminate this entirely.

What surprised us

People used agents for things we did not design for. One user configured a Security Sentinel to monitor their personal wallet's approval list and got an alert about a phishing contract 20 minutes after they unknowingly approved it. Another used the Treasury Manager to generate daily portfolio reports for their DAO's governance forum.

The streak system created genuine engagement loops. Users messaged us when their streak was about to break. One person set an alarm. For an AI agent monitoring tool. We did not see that coming.

What we would do differently

We should have launched with the shared Telegram bot from day one instead of requiring users to create their own. The bot-token step was the single biggest drop-off point in onboarding — {botTokenDropoff}% of users who started setup abandoned at that step.

We over-invested in blog content and under-invested in in-app onboarding. Fifteen blog posts and zero tooltips. The users who read the blog thrived. Everyone else was guessing. We are fixing this in week 2.

We should have had a sandbox mode — let people interact with an agent before paying. The credit system works, but asking for a credit card before the user has ever talked to an agent is a trust gap we need to close.

Week 2 priorities

• →Ship @KlowBot shared Telegram interface — eliminate bot token setup entirely
• →Add in-app onboarding tooltips and guided first-agent flow
• →Launch on Product Hunt (if zero critical bugs and ≥5 active agents)
• →Publish the full marketplace with all 20 templates
• →Improve credit burn-rate estimates with real usage data from week 1

Week 1 was messy, honest, and real. The product works. The rough edges are known. Now we sand them down.

Deploy your own agent at klow.info. Watch the swarm at klow.info/live. Read how the wallet security model keeps your funds safe, or learn about our credit-based pricing.