builderweekly

How do I scan recent AI/agent research papers for failure modes and limitations, then draft honest-skeptic reel scripts that cite the paper, explain the failure, and land on why approval gates / human-in-the-loop matter — tied to Implexa

the agent that answers this

honest-skeptic reel scripts from AI research. Scan recent AI/agent research papers for failure modes and limitations, then draft honest-skeptic reel scripts that cite the paper, explain the failure, and land on why approval gates / human-in-the-loop matter — tied to Implexa.

2 runsLast run 1d ago1 on a scheduleUpdated Jun 23v1

Cost: Free; on your own plan
Runs: weekly; on a schedule
Built from: 7 steps; 3 verified skills
Runs in: Claude or Codex; as you

what you get

3 ready-to-record reel scripts in the honest-skeptic format, each with its source paper citation and a hook, tied back to Implexa's approval-gate / human-in-loop positioning.

example result

illustrative

A finished weekly run delivers: 3 ready-to-record reel scripts in the honest-skeptic format, each with its source paper citation and a hook, tied back to Implexa's approval-gate / human-in-loop positioning.

Example output, to show the shape of the deliverable. It has not run on your data. Build the agent to get this on yours.

the steps

7 steps · 3 from verified skills

Step 1tool
Preflight: before doing any work, make sure everything this agent needs is in place, so the run never fails halfway on a missing tool or an unconfigured account. Services and accounts (these need a key, login, or subscription, NOT auto-installed): OpenAI (usage-based (API key); get it at platform.openai.com). Before the FIRST step that calls a paid service, verify its API key or login is configured. If one is missing, STOP and tell the user exactly what to sign up for, the link, and any cheaper alternative, instead of failing partway through a paid run.
Your model fills this step
Step 2tool
Search recent AI/agent research papers and reports (arXiv, Microsoft Research, OpenAI, DeepMind, Anthropic) for agent failure modes, execution-accuracy cliffs, delegation/benchmark limitations published in roughly the last 30-60 days
联网搜索工具 - 帮你检索最新信息、新闻、实时数据 Use when: 用户需要查“最新消息”、“搜索xx”、“查一下”、“找资料” NOT for: 回答常识问题、闲聊、写文章
--- name: web-search description: | 联网搜索工具 - 帮你检索最新信息、新闻、实时数据 Use when: 用户需要查“最新消息”、“搜索xx”、“查一下”、“找资料” NOT for: 回答常识问题、闲聊、写文章 --- # Web Search Skill - 联网检索你是一位信息检索专家，擅长帮用户快速找到准确、最新的网络信息。 ## Workflow 1. **提取关键词**：从用户问题中提取核心搜索词 2.…
Full skill: internet-search-pro网页搜索助手
- No integration? Browse arxiv.org/list/cs.AI/recent and arxiv.org/list/cs.CL/recent directly
- No integration? Check Microsoft Research and OpenAI blog/publications pages
Step 3
From the findings, pick the 2-3 strongest, most reel-worthy failure findings (concrete numbers, surprising result, clear delegation/agent angle) and capture each with an exact citation: paper title, authors/org, date, the specific stat or failure, and a source URL
Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl Research, using semantic paper search,…
Firecrawl Research Papers Use this to create a sourced literature review. Onboarding Interview Infer the topic, source constraints, target count, and output format from context. If the topic is clear, proceed immediately. Ask at most 1-3…
Full skill: firecrawl-research-papers
Step 4
For each pick, draft an honest-skeptic reel script: open with a punchy standalone hook stating the failing stat, cite the paper plainly, explain why the agent failed in human terms, then land on 'this is exactly why approval gates / human-in-the-loop matter' and tie to Implexa as the control plane that keeps a human in the loop
Your model fills this step
Step 5
Rewrite each script in the Implexa reel voice: human, first-person, story-driven (before/after), not marketer ad-copy; every hook and title must stand alone for a cold viewer with no 'Day N / yesterday' dependency; keep abbreviations spoken naturally (no letter-by-letter reads)
Use this skill when creating short-form video scripts for platforms like TikTok, Douyin, Instagram Reels, YouTube Shorts, or WeChat Channels. Activates on re...
--- name: short-video-script description: > Use this skill when creating short-form video scripts for platforms like TikTok, Douyin, Instagram Reels, YouTube Shorts, or WeChat Channels. Activates on requests like "write a short video…
Full skill: 短视频脚本创作助手
Step 6decision
Quality gate: adversarially critique the deliverable produced by the prior steps, from three lenses (a domain expert, a hard skeptic, and the end user). Check it actually accomplishes the job, is accurate and on-brand, and is genuinely high quality. Fix clear problems in place; if something should block or materially change it, say so before it reaches the user.
Decision step
Step 7decision
Assemble the final deliverable — 3 reel scripts plus a sources/citations list — and present for the founder's review before any recording or rendering
Decision step

runs hands-free with

scheduled runs
fires this workflow automatically on a schedule so it delivers on its own instead of being re-run by hand
Claude for Chrome
pulls live data from sites that have no API (an MLS, Zillow, your CRM web UI) and clicks through web tasks for you, so the data-gathering steps run themselves instead of leaving placeholders to fill

Connect these and the agent gathers its own data and delivers on a schedule, instead of leaving you blanks to fill.

Run this agent in Implexa, on your own Claude or Codex, free

Get the Implexa app (or connect your Claude Code / Codex), then say build the honest-skeptic reel scripts from AI research agent and approve the schedule. It runs as you, on your real data, on the subscription you already pay for, and gets sharper each run. Your agent's memory is yours and travels with you across Claude, Codex, and whatever comes next. About 5 minutes to your first real run.

Run this agent in Implexa →

common questions

How do I scan recent AI/agent research papers for failure modes and limitations, then draft honest-skeptic reel scripts that cite the paper, explain the failure, and land on why approval gates / human-in-the-loop matter — tied to Implexa?

The honest-skeptic reel scripts from AI research agent. 3 ready-to-record reel scripts in the honest-skeptic format, each with its source paper citation and a hook, tied back to Implexa's approval-gate / human-in-loop positioning.

Is the honest-skeptic reel scripts from AI research agent free?

Yes. It runs on the Claude or Codex subscription you already pay for, so there is no extra AI bill and no per-run charge. You can build and run unlimited agents on the free plan.

How often does the honest-skeptic reel scripts from AI research agent run?

It is built to run weekly, on a schedule you set when you build it. You can change the cadence or pause it any time, and it runs unattended once it is on.

What does the honest-skeptic reel scripts from AI research agent need to run?

Install Implexa into your Claude or Codex, then connect scheduled runs and Claude for Chrome so it can gather its own data and deliver hands-free. Implexa never touches your accounts or credentials.

Does the honest-skeptic reel scripts from AI research agent use my data? Is it private?

It runs as you, on your own machine, on your real data. The model runs inside your own Claude or Codex, so Implexa never sees your data, accounts, or credentials. Your agent's memory is yours and travels with you across Claude, Codex, and whatever comes next.

How do I build the honest-skeptic reel scripts from AI research agent?

Install Implexa into your Claude or Codex, then say "build the honest-skeptic reel scripts from AI research agent" and approve the schedule. Implexa assembles the 7 steps (3 from verified skills) and it runs on its own. About 5 minutes to your first real run.

Can I change what the honest-skeptic reel scripts from AI research agent does?

Yes. Tell it what to change in plain language and it revises its steps; the next scheduled run uses the change, with no re-scheduling. Every change is versioned, and a run can even propose its own improvements.

changelog

v1Jun 23generated
auto-generated from "Scan recent AI/agent research papers for failure modes and limitations, then dra"

Agents are alive: every change is a version, and a run can propose improvements that get reviewed and applied.