AI Tools Directory

OpenAI is adding beta self-serve buying, CPC bidding, and conversion measurement. Useful if you want to test high-intent ChatGPT traffic without buying pure impressions. Still early, but worth watching.

.@tryclico is for people who write across Gmail, Docs, Notion, Slack, and Reddit. It puts AI inside the text box, reads the visible page for context, and can summarize pages, explain highlights, or take voice input. Less tab-hopping. More writing. aitoolsdirectory.com/tool/clico

.@atoms_dev is useful when you want to test a paid app idea without spending weeks wiring the boring parts. Research, spec, full-stack build, login, database, Stripe, hosting, SEO pages, and code export. Good for indie hackers who need a real market test, not another mockup.

My inbox used to be filled with "submissions" to the directory for new, undeveloped, spammy tools. Some AI slop tool called Polsia seems to be behind it. Trying to bypass the submission form. This bot-driven sludge is marked as spam and deleted. Polsia spelled backwards is...

Claude Code used to help me build apps. Now I misspell a variable and it eats my weekly credits. Anyway. Codex.

Supernormal is positioning itself less as a note-taker and more as a post-meeting workflow tool. Calls turn into decks, briefs, and client updates, not just transcripts. The bot-free recording setup is great for agency environments, from @supernormal_ai. aitoolsdirectory.com/tool/supernorm…

Shopify just gave AI tools an official way into merchant workflows: docs, API schemas, validation, and store actions. If you sell to ecommerce brands, test a "store operator" bot for catalog fixes, discount setup, and support tasks now. shopify.dev/changelog/shop…

GPT for Work @gptforwork puts models like ChatGPT, Claude, Gemini, and Grok inside Google Sheets and Excel. It’s built for bulk work: translation, categorization, enrichment across large datasets (up to ~1,000 rows per minute). aitoolsdirectory.com/tool/gpt-for-w…

AI business idea 💡 Turn Gemma 4 into offline-first assistants for specific industries like warehouses, clinics, schools, field sales, or hospitality where privacy and speed matter more than having the most advanced model.

ElevenLabs’ Flows focuses on making creative production repeatable: build a pipeline once, then reuse it across product ads, voiceovers, lip-synced promos, and localized versions. Create a standardized way of producing creative at scale. @ElevenLabs elevenlabs.io/blog/introduci…

Hugging Face’s latest data is a good margin check for AI startups: smaller and open models keep winning on deployability and cost. If every request in your product still hits a frontier model, re-run the unit economics. @huggingface huggingface.co/blog/huggingfa…

💡AI business idea: Audit ecommerce stores' product catalogs and pages to check how ready they are for AI search and discovery. Then, offer services to clean up their product data feeds, automatically generate comparison tables, and enrich their product information.

Runway Builders is worth a look if your product could benefit from a face: onboarding host, support avatar, AI tutor, sales rep, or creator persona. Up to 500k API credits = test video agents before you take on full multimodal infra costs. @runwayml runwayml.com/news/introduci…

@lukepierceops NICHE

I mapped every AI automation opportunity across 25 industries. 10-15 pain points each. With the exact positioning, pricing range, and who to sell to. This took me 4 years and 80+ client engagements to figure out. A lot of AI agencies pick a niche and pray. They don't know the actual pain points. They don't know who the buyer is. They don't know what these companies are already paying for broken solutions. They don't know what the realistic project size is. So they end up competing on price for generic "AI automation" gigs. I've worked with marketing agencies, recruiting firms, e-commerce brands, law firms, real estate companies, healthcare practices, financial services, SaaS companies, manufacturing, construction, logistics, and more. Every single one has 10-15 processes that are bleeding money because they're still done manually. Here's what the guide covers for each industry: → The top 10-15 automation pain points (ranked by ROI) → Who the actual buyer is (CEO, COO, ops manager, etc.) → What they're currently paying for manual labor or broken SaaS → Realistic project pricing ($5K-$60K+ depending on scope) → The discovery questions that unlock the deal → How to position yourself as the expert even if you've never worked in that industry → Red flags to avoid (industries and company sizes that aren't worth it) 25 industries and 300+ specific automation opportunities. This is the cheat code for picking your niche and knowing exactly what to sell before you ever get on a call. Like + RT + reply "NICHE" and I'll send you the full guide (Must be following so I can DM)

Anthropic just put $100M into the Claude Partner Network. If you run an AI agency, offer code modernization, certification-backed implementation, and internal workflow automation. Services revenue is still one of the cleanest AI businesses. anthropic.com/news/claude-pa…

OpenAI buying Astral is a founder signal, not just M&A news. If your stack is Python, tighten your workflow around uv, Ruff, typing, and AI-assisted verification now. The upside is fewer flaky handoffs between code generation and actual shipping. openai.com/index/openai-t…

@spect3ral Fatigue

Set up my claude code to detect dying ads.. I've already saved $2100. Here's how 👇 My ad died on Tuesday...I found out on Friday. Never again. I built a Claude Code skill that catches dying ads 3-5 days before your ROAS craters. The problem: Meta only flags creative fatigue AFTER your cost-per-result is already 2x worse. By then you've wasted hundreds. The real signals show up much earlier. Here's what /fatigue-scan tracks: 1/ CTR trajectory 10% drop over 3 days = early warning. This shows up before CPA moves at all. 2/ Frequency at the creative level Same image in 3 ad sets = your audience sees it 3x faster than Ads Manager shows. 3/ CPC inflation Rising cost + falling CTR = Meta is charging more for worse attention. 4/ Hook rate decay First 3 seconds watched dropping = scroll-stop power is gone. 5/ Engagement cliff Likes, comments, shares all dropping together. The skill spots the bend, not the bottom. What the report looks like: 🟢 12 ads healthy — keep running 🟡 3 ads warning — replace within 48 hours 🔴 2 ads critical — pause now, burning cash Each flag includes the trigger metric, estimated days until ROAS breakdown, and the recommended action. I've saved ~$2,100/month just by pausing ads 3 days earlier. No API keys. No MCP. No code. Export a CSV, type /fatigue-scan, done. Comment "Fatigue" and I'll DM you the skill (must be following) No alternative text description for this image

@spect3ral CLAUDE

I built 10 Claude Code skills for Meta Ads They're free. Here's what they do: 👇 Operations: bleed-check: finds ad sets burning cash with zero conversions, pauses them rebalance: shifts budget from losers to winners automatically fatigue-scan: catches creative fatigue before your CPMs spike weekly-report: pulls KPIs, compares WoW, sends to Slack Creative & Intelligence: spy: scrapes competitor ads from the Ad Library, diffs weekly bulk-creative: generates 50–500 ad variations, renders to PNG hooks: writes 50+ copy variations using PAS, AIDA, BAB frameworks deploy-ads: reads a manifest, creates campaigns via API in minutes Setup & Architecture: setup-capi: generates production-ready Conversions API code audience-audit: finds overlap, maps funnel stages, fixes exclusions How to use them: Drop the .md files into .claude/commands/ Set your Meta access token Type /bleed-check, /spy, /hooks — it just runs ~25 hours/week of manual work → automated. No complex setup. No code to write. Just slash commands. Full skill files + setup guide in the article. Comment "CLAUDE" and I'll share the link (must be following!)

GitHub Copilot CLI matters because it puts the agent in the terminal, not another tab. Good angle for founders: sell narrow workflows like bug fixes, test repair, repo cleanup, or customer-specific scripts instead of vague "AI engineer" promises. github.blog/changelog/2026…