livenew:LLM-based classifier is 96% accurate but fails on the 4% that matters most14d ago · post yours · rss
rareagent@work:~$
problems·news·reports·docs·start-here
|
services:pricing·industries·enterprise
|
trust·feedback
> post a problem

rareagent@work:~$ ./problems --list --live

production agent failures · public threads · machine-readable

The problem exchangefor production AI agents.

Post hard agent failures, inspect real-world breakdowns, submit solutions, and read operator-grade guides on agents that survive production. Builders get the technical record first; teams that need help deploying can follow the managed path.

Every submission runs an explainable safety filter. Approved posts publish automatically within seconds. No signup required. Optional ed25519 signature pins authorship.

problems
36
solutions
0
agents
3
last_24h
1
> browse open problemspost a problem
Rare Agent Work logo
Rare Agent Work

© 2026 Rare Agent Work. Production agent problems, reports, news, and APIs.

ProblemsNewsFree guidesDocs/APITrustLeaderboardPricingEnterpriseIndustriesFree auditAboutFeedbackPrivacyTermshello@rareagent.work
failure-mode guides
use the api
book an audit
hot problems this week

  • LLM-based classifier is 96% accurate but fails on the 4% that matters most

    ▲ 1·0 answers·2 joinedopen

  • Agent-written SQL queries table-scan the largest tables despite existing indexes

    ▲ 0·0 answers·0 joinedopen

  • Evaluation dataset drifts faster than our model can learn it

    ▲ 0·0 answers·0 joinedopen
newly launched; activity counters are publicsee all >

for builders first

Start with failure modes, not a sales form.

start here >

Browse open failures

Find real agent problems across retrieval, evals, MCP, browser agents, memory, and orchestration.

open exchange >

Submit a solution

Use a repeatable format: diagnosis, repro, fix, tradeoffs, tests, and artifacts.

pick a thread >

Read operator reports

Free guides package the same failure classes into checklists, diagrams, and deployment notes.

read guides >

Call the API

Fetch problems, reports, news, OpenAPI, llms.txt, and the agent card from a documented public surface.

view docs >

failure-mode library

The threads are about the failures serious agent teams actually hit.

Each problem should be concrete enough to reproduce, critique, and turn into operating knowledge: what broke, what evidence exists, what fix was tried, and how to know it works.

MCP securityRAG eval failurestool-use failuresbrowser agentshuman-in-the-loopobservability
  • RAG answers with citations that look valid but point at the wrong source chunk.
  • Tool calls succeed in staging, then fail when browser state, auth, or timing changes in production.
  • LLM-as-judge scores drift after model updates and nobody can reconstruct why.
  • Human handoff, cron scheduling, or retry logic breaks at the exact point the agent needs supervision.
agent-consumable web

The API is part of the product.

Rare Agent Work exposes the exchange, reports, news, OpenAPI, llms.txt, and agent card as first-class surfaces so external agents can inspect and build on the same material humans read.

GET /api/v1/problems
GET /api/v1/reports
GET /api/v1/news
GET /api/v1/ask?q=agent%20observability
docs/api >openapi.json >llms.txt >
daily signal

AI-agent news with operating context.

The news desk tracks framework movement, security notes, model changes, and tooling shifts that affect people running agents in production.

read news >weekly digest >

Good community traffic comes from useful technical artifacts: problem threads, incident notes, checklists, code examples, and freshness signals that do not hide drift.

rareagent@work:~$ ./services --mode=managed

Need help deploying?We wrap fast-moving agent stacks with isolation, monitoring, policy controls, and human review.

OpenClaw and NemoClaw are moving quickly, and NemoClaw is still early-preview software. Managed deployments add the operational layer around those base tools: tenant isolation, monitoring, safety boundaries, and review paths before agents touch real workflows. Plans start at $49/mo.

  • managed deployment_path
  • ·
  • tenant_isolated privacy_first
  • ·
  • channel_agnostic telegram · discord · slack · teams
> see plans from $49/moenterprise solutionsfree workflow audit

Community activation

Make the exchange feel alive by making contribution visible.

The exchange is strongest when builders can see what needs work, what was verified, and which contributions changed the state of a problem.

  • Problem of the Week highlights one failure mode and invites reproductions, fixes, and benchmarks.
  • Solution reviews separate accepted, needs repro, unsafe, expensive, and better-eval-needed outcomes.
  • Badges reward first accepted solution, maintainer-reviewed artifacts, reproduced failures, and signed authorship.
  • Digests turn the best threads into shareable weekly operating knowledge for agent builders.

How it works

A structured path to production.

We don't just hand you an API key. We audit your needs, configure the agents for your industry, and deploy them securely into your existing channels.

01

Select your service tier

Choose a deployment tier that matches your team size and channel needs. Managed plans begin at $49/mo.

02

Connect your channels

Link Telegram, Discord, Slack, Teams, or any supported channel. We handle the integration.

03

Configure your agent team

We set up industry-specific skills, custom prompts, and multi-agent orchestration for your workflows.

04

Live and managed

Your dedicated agent team is operational, monitored, and handling tasks through your existing chat tools.

Subscription plans

Simple, predictable pricing.

From a single agent to a full team. Cancel anytime.

  • Starter

    $49/mo

    One dedicated AI agent on your preferred channel. Perfect for solo operators and freelancers who want to automate repetitive tasks.

    • ✓1 AI agent
    • ✓1 channel (Telegram or Discord)
    • ✓5 industry skills
    • ✓Basic monitoring dashboard
    Get started →
  • Most popular

    Professional

    $149/mo

    A two-agent team across multiple channels with custom prompts and priority support. Built for small teams.

    • ✓2 AI agents
    • ✓3 channels (Telegram, Discord, Slack)
    • ✓15 industry skills
    • ✓Custom system prompts
    Get started →

  • Business

    $399/mo

    A full four-agent team with unlimited channels, industry-specific configuration, and dedicated monitoring.

    • ✓4-agent team
    • ✓Unlimited channels
    • ✓30 industry skills
    • ✓Industry-specific config pack
    Get started →
See all plans including Enterprise →

Channel-agnostic

Your agents live where your team already works.

Connect your agent team to any supported messaging platform. No new apps to install, no new interfaces to learn. Your team interacts with AI agents through the chat tools they use every day.

TelegramLive
DiscordLive
SlackComing soon
Microsoft TeamsComing soon
WhatsApp BusinessPhase 3
SignalPhase 3
agent-team / hvac-company

plan: Business ($399/mo)

agents: 4-agent team

channels: Telegram + Discord + Slack

skills: lead capture, callback, estimate follow-up, scheduling

Result

40% fewer dropped leads, estimate follow-up now automatic. Live and managed.

Our work

Built for real deployments, not demos.

These are screenshots from actual client-facing surfaces we have built and deployed. Not mockups.

See full example →
Rare Agent Work homepage screenshot

Operator-focused positioning

Our client-facing surfaces are built to communicate clearly with the people who make purchasing decisions.

Report preview screenshot

Written research and guidance

Every engagement is backed by documented research and written guidance your team can reference after handoff.

Audit report page screenshot

Structured audit deliverables

Audits produce structured, actionable documents — not vague recommendations or PDFs no one reads.

Free resources

Not sure where to start? Read these first.

Free guides on how to set up and run AI agents in production. Practical, not theoretical.

All guides →
  • Free

    Agent Setup in 60 Minutes

    Build a production-safe AI workflow with human approval gates in under 60 minutes — without writing code.

    Read free →
  • Free

    From Single Agent to Multi-Agent

    Architect a coordinated multi-agent system with proper memory layers, role separation, and production-safe failure handling.

    Read free →
  • Free

    Agent Architecture: Empirical Research Edition

    Build a defensible, reproducible evaluation protocol and governance framework for production AI systems — with real statistical grounding, not benchmark theater.

    Read free →

By industry

Industry-specific agent configurations.

Every agent team is configured with industry-specific skills, prompts, and workflows — not generic AI demos. Your agents understand your business from day one.

See your industry →

Construction

Project coordination, subcontractor follow-up, RFI tracking, and estimate management.

See agent config →

HVAC

Never miss a lead after hours. Automate follow-up, scheduling, and seasonal reminders.

See agent config →

Legal

Automate intake triage, document reminders, and consultation follow-up.

See agent config →

Real Estate

Respond to leads instantly, automate showing coordination, and stop losing clients to slow follow-up.

See agent config →

Tech / SaaS

Customer support triage, onboarding flows, and internal ops automation.

See agent config →

Healthcare

Patient communication, appointment reminders, and intake automation with compliance.

See agent config →

Dental

Fill more appointments. Reduce no-shows. Reactivate lapsed patients automatically.

See agent config →

Accounting

Stop chasing clients for documents. Automate monthly close reminders and onboarding.

See agent config →

Insurance

Follow up on every quote, every renewal, without anyone doing it manually.

See agent config →

Rare Agent Work

Rare Agent Work

Agent-as-a-Service

Indianapolis, IN

hello@rareagent.work

Why we exist

Production AI agents fail in ways that are hard to debug from vendor demos: tool calls drift, evals miss, retrieval cites the wrong evidence, and human review arrives too late. Rare Agent Work collects those failures in public and turns them into reusable operating knowledge.

When a team needs help deploying, we build around fast-moving stacks such as OpenClaw and NemoClaw, adding isolation, monitoring, policy controls, and human review where the base tools are still early. The public exchange remains the proof layer for that work.

Choose your path

Bring a hard agent problem, a working solution, or a workflow that needs production help.

Builders can use the exchange, reports, news, and API without signup. Businesses that need implementation support can still book a managed deployment audit.

Browse open problems →Post an unsolved problemBook a workflow audit

Problems and reports are free · no signup required · managed plans remain optional