MindThread
20 articles about "MindThread".
Connect MindThread to Claude: pull your best posts first, then draft
Connect the MindThread MCP server to Claude Code, use get_top_posts to pull the 20 best-performing posts from your own Threads account, have Claude turn them into a content document (core ideas, voice, worldview), then draft 3 new posts from it. Both prompts, the output of every step of our test run, a read-only key setup, and the error we actually ran into.
Letting an AI assistant act without overreaching: action cards, a confirm gate and risk levels
In the upcoming MindThread 2.0 (on our preview site for now), we let Xiaomai, the in-app assistant, schedule posts, change posting times, toggle cloud patrol and pause accounts for members. The model never touches a tool: rules pick the intent, the model only fills card fields, the server stores the card, every card needs a click, high-risk ones need two, state is re-read before running, and everything is logged. Includes a confirm gate you can adapt.
Making an AI assistant quote only real numbers: the faithfulness check behind our in-app helper
The worst thing an in-app AI assistant can do is get a number wrong. For Xiaomai, the helper in MindThread 2.0, we built four layers: the model never gets tools, data is precomputed, every number and quote in the answer is checked against the data, and anything that does not match triggers one retry, then a plain "not found". Includes a ready-to-use answerIssues function.
AI-written outreach should read like the recipient wrote it: the quality bar we set for samples
We are designing a 'send a sample first' outreach flow: three Threads drafts written with MindThread in the recipient's own voice, or three findings from their website. The first version averaged 5.7 out of 10. This post covers the four gates we set: how we build the brand brief, computing voice with code, a source for every factual sentence, and a reviewer playing the business owner who scores the email, with anything at 7 or below rewritten. We have not sent a single email; this is a process design. Voice stats and overlap check code included.
When the model deprecation notice lands: how we split the gemini-2.5-flash migration into four steps
Google says gemini-2.5-flash shuts down on 2026-12-01 and requests will be redirected to gemini-3.5-flash-lite. It sounds like nothing to do, but when we called 3.5-flash-lite directly with a thinkingBudget, we got a 400. We split the migration into four steps: inventory, a tested parameter matrix, per-feature switching through config, and a quality comparison on real inputs. Along the way we found two links in our fallback chain that had been broken for a while. Probe and switching code included.
Merging 106 commits into a branch that had been open for two and a half weeks: how we sorted and resolved 44 conflicts
The MindThread 2.0 branch went a week without syncing, mainline grew by 106 commits, and the merge stopped on 44 conflicted files. We sorted them into four groups (shared code, old-only, new-only, config), gave each group a default rule, then ran two test stages, held the bundle budget and walked the preview site. Includes a conflict sorting script and a by-key three-way JSON merge script.
Threads Formula 30-Day Test, Wrap-Up: 13 AI-Written Posts, One Hit 100K Views, and the AI-vs-Handwritten Question We Can't Answer
The wrap-up of our 30-day stance-formula test. All 13 formula posts were AI-generated, 10 of them landed below the median of the same accounts' everyday posts in the same window, and the formula missed the +50% bar we set in advance. One post on day 28 reached 108,000 views, but two weeks later the same account's non-formula post on the same topic (the cost of smoking) reached 119,000. The opening post's third question, AI-generated versus handwritten, can't be answered: the experiment never had a handwritten control group. This post explains why.
Threads Auto Reply and Comment Patrol: How to Catch the First Few Minutes (2026)
Threads auto reply answers comments on your own posts through the official API; comment patrol comments on other people's posts. Risks and a five-step setup.
MindThread vs Cuicuifa: How to Choose a Threads Automation Tool (2026)
MindThread vs Cuicuifa: managed service or self-serve SaaS on the official Threads API, and whether to touch the grey zone. Table, profiles, FAQ.
What Is an "AI Employee", and How Is It Different from an AI Tool? One Account That Actually Runs
"AI employee" is a product narrative; underneath it is still a model plus a set of rule files. The real difference is four things: shared memory, whether the rules can override the model's own templates, a review gate on output, and who is accountable when it goes wrong. This post uses one of our own Threads accounts, run by an AI agent since September 3: the first real run surfaced five defects no spec revealed, compliance went from 0/4 to 5/6, and two things are still judged by a human.
Threads API Automatic Posting Guide (2026)
Threads API auto posting in five steps: app setup, tester invite, 60-day token, two-step publish and cron scheduling, with Node.js code from production.
Threads Formula 30-Day Test, Week 3: Clean Samples Converge to −15%, Reposts Still Zero
The first clean samples after the scheduler fix: two formula posts at −15% and −23% against the baseline median, a clear convergence from last week's −56%, but still below the median. Formula posts remain at zero reposts on day 20 of the run while the same account's everyday posts collected 13. Plus one execution delay we own up to: the risk account's restock slipped until after this week's data pull, so it contributed zero samples.
Threads Formula 30-Day Test, Week 2: Samples Arrived, All Four Below the Median
The rotation fix shipped and delivered 4 new formula-post samples in 5 days, so the sample-speed problem is solved. But all four landed below the baseline median (-51% to -63%). Formula posts still have zero reposts while the account's everyday posts picked up 4. Plus a scheduler bug of our own making and a correction to Week 1's baseline data, all laid out per the rules we set in the opening post.
Threads Formula 30-Day Test, Week 1: 6 Days In, Two Samples, Zero Reposts
In the opening post we promised weekly progress data, and this is the first delivery. Six days in, each test account has published exactly one formula post: one hit 489 views at the 72nd percentile but missed our +50% threshold, the other's 80th percentile sits on a baseline too weak to trust. Reposts are zero across the board, and that may be the most important observation so far.
Threads Has Built-In Scheduling Now. So What Are Third-Party Tools For? A Three-Layer Decision Table
Threads now ships native post scheduling, up to 75 days ahead. We break Threads automation into three layers: native scheduling, official-API tools, and browser automation, with a five-column decision table, official sources, and a conflict-of-interest disclosure.
Real Metrics from MindThread's 56 Accounts — 3 Pipeline Bugs I Missed for Two Years
My SaaS has run for two years. From Gate C2 today, I had Claude run a real audit on all 56 accounts. Found 3 bugs I had no idea existed. Going public.
Threads Auto Post in 2026: 5 Tools Compared
Threads auto posting tools compared: MindThread, Buffer, Later, Publer, manual posting. Free plan limits, starting prices and AI features, per pricing pages.
How to Schedule Threads Posts: Set Up Daily Auto Posting in 5 Minutes
Threads has built-in scheduling for one account at a time. Here is how to set up automatic Threads posting with MindThread, plus the best posting times.
We Read 25 Meta Algorithm Patents, Then Rewrote Our Threads Posting Engine
Not guesswork and not anecdote. We went straight to the technical documents Meta filed with the US Patent and Trademark Office, reverse-engineered the underlying logic of the Threads algorithm, and wrote the conclusions into our automated posting system.
How We Defend AI Against Comment Attacks: 5-Layer Prompt Defense in Production
When your AI auto-replies to hundreds of comments daily, Prompt Injection isn't theoretical: it's happening every day. This is the 5-layer defense architecture we validated across 27 accounts.