ChatGPT agent builds a five-competitor workbook
Faems reports that ChatGPT agent researched five competitors for his startup into a workbook, including customer-review evidence; he recognised all five from prior human research.
AddedFinding, comparing and organising information from source material. Check citations and primary evidence before using conclusions.
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Faems reports that ChatGPT agent researched five competitors for his startup into a workbook, including customer-review evidence; he recognised all five from prior human research.
AddedA first-day tester reports that ChatGPT agent collected 200 companies from five Forbes pages into a spreadsheet, needing restarts; a later LinkedIn-enrichment step remained only half complete.
AddedScholz reports more than one hundred ChatGPT agent tests and 250 website visits, exposing browsing and conversion failures including a mailto button on her own site.
AddedA GIS user reports digitising 17 legacy maps with Claude Code scripts after manual georeferencing, then correcting omitted colours and extraction errors in QGIS.
AddedLopes reports a six-page IEEE-style technical report on his Pokémon scanner, including related research and architecture diagrams, improved by a second agent checking the code.
AddedBlue Octopus reports using Claude Code to process 209 research links into a tagged knowledge base, with source-chain retrieval, structured verdicts and connections to tracked projects.
AddedThin_Sky reports using Claude Code scripts to parse PostHog metrics and wedding-concierge conversation logs, then personally writing the report used to create a usage infographic.
AddedPapanda reports Claude Code filtering a research CSV by stated criteria, grouping records and saving a statistics-ready file, then revising it after a changed condition.
AddedGao reports a Claude Code empirical-research demonstration producing a bibliography, reproducible R analysis and a 35-page paper, with reviewer agents catching a citation and numerical mismatch.
AddedKeiffenheim reports using her Jean Claude Code skill to produce a report on phones, social media and attention, with scoped searches and citation checks before using it for further reading.
AddedNam reports iterating with Claude Code on a working open-access PDF retrieval pipeline for a 76-study biopsy review, using API fallbacks while paywalled papers retained institutional access.
AddedLune reports a Claude Code session that searched prompt-injection defenses, compared five papers and caught unsupported numerical and generalisation claims.
AddedVan der Berg reports converting more than 50 structured interview files into a classified CSV and filterable HTML dashboard, while retaining her own opportunity mapping and interpretation.
Addedwaizns reports analysing 27,939 personal prompts and 3,183 sessions through event datasets and specialist agents, then synthesising findings into a twelve-behaviour installable skill.
AddedPaper Lantern reports two Claude Code autoresearch runs where literature access supplied training ideas; the resulting configuration had lower validation loss in the team’s own small-model test.
AddedReichert reports a Claude Code experiment comparing small neural networks on two-dimensional mazes, including generated training data, training runs, a report and interactive visualisation.
AddedBorchers reports researching trigger.dev alternatives with Claude Code workers, auditing false claims, and rerunning with verifiers; errors decreased in his own review but did not disappear.
AddedRaghav Mehra tested Comet on the slow first step of a NotebookLM project: collecting useful source links.
AddedMehta reports that Comet navigated Aravind Srinivas’s profile, expanded recent posts and read comment threads to summarise ten days of Comet-related updates and reactions.
AddedDeepa Sarin asked Comet to find five machine-learning-in-healthcare articles and create five weekday Google Calendar reading slots; she checked that every event existed with a different article attached.
AddedPigni reports using Gemini Deep Research to examine four personal learning assumptions; the report challenged concentrated practice and constant feedback rather than simply agreeing with him.
AddedSeaver tests Gemini Deep Research on his wife’s great-grandfather, receives a sourced family-history report and audio overview, and identifies limits in record access and conflict resolution.
AddedBrenner reports using Gemini Deep Research for cultural-history reports that became public narrated episodes, with a separate Python pipeline preparing and assembling the audio.
AddedHutchison reports Gemini producing a cited Stonehenge research report as a local Markdown file in about 20 minutes through his terminal extension.
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