... layer, managed: Tools give your agent capabilities without writing the harness RAG attach a knowledge base, retrieval handled Connectors plug into the systems your agent needs to read and act on Prompt orchestration chain, branch, and route across steps Metering every run is measured, so billing and cost visibility are built in, per agent And the part we care most about: you're not locked in. Export any agent as an SDK and run it inside your own product. Build ... ... once, deploy where you want. Metered

... automation. Doesn't scale, but might be correct at my size. Where I'm stuck is that I can't measure the thing I'd need to decide. I don't know what share of retries are genuine misses versus taste. I could ask on the retry "what was wrong with it?" but I suspect that mostly annoys the people I most want to keep. For anyone running something generative and metered

... above it. Our heaviest users are people going through something. The person journaling every day is in a hard month, and she is simultaneously the most expensive user to serve and the one I least want to meter. I don't have a clean answer to that. We made an unrelated decision last year to have the AI forget everything after thirty days, for trust reasons, and it happens to cap how much context every call carries ... ... generation path: empty response, refund the credit; model delivers way under the requested count, refund. That forced me to actually price a single call, which flat-rate never made me do. The trade I'd flag: credits move the metering

... pronunciation audio for flashcards. Cloud TTS bills per character, so I had to build a cache before I could ship: hash the text plus voice plus language, check storage, only synthesize a miss. Pure overhead, exists only because the meter runs. Unlimited local generation should delete that problem, but only if the tool doesn't quietly recreate it. If your CLI re-renders a whole batch when I change one line, I've traded a bill for a wait ...

... RunEvr for the whole team. Works with Claude, Cursor, and ChatGPT. The best part: you don't pay us a penny extra. It runs on your own AI account - your existing free or paid Claude/ChatGPT plan. We don't meter it, don't upsell it, don't touch your bill. And one line we won't cross: your AI can never see more than you can. Same permissions as you - superpowers, not a backstage pass. Which AI do you live ... ... Apps 2026 MCP Roadmap Comment from Arash Rahimi(@irahimiam): Claude, most of my day too. First thing I'd want out of this isn't a task list, it's which of those tasks actually need my decision versus

... minutes of digging through benchmark tables and dev threads. So I built Reality Filter. You paste in a launch and get one verdict: worth trying now, watch later, too early, or mostly fog machine - plus a fog meter for how much of the claim is still unproven. Every verdict names its sources: real benchmark numbers, named reviewers, actual user reports. Never "reports suggest". Two things I did deliberately: Verdicts are dated, public, and I don't quietly edit them ...

... through benchmarks and threads before I trusted a claim enough to act on it. You paste in a launch and get one of four verdicts - worth trying now, watch later, too early, or mostly fog machine - plus a fog meter for how much of the claim is still unproven. Every verdict names its sources: real benchmark numbers, named reviewers, actual user reports. Not "reports suggest". Two deliberate choices: Verdicts are dated and public and I don't quietly edit them ...

... much as I can, so please do bear with me :) Comment from Mitul Sheth(@m1tul5): @rabnoor_s Yes I have fixed Fable fallback in 2.1.1, it will report 1 M correctly now. I am planning to not show the meter for the ambigious sessions in the future instead of having a default value as safety net. Comment from Rabnoor Singh(@rabnoor_s): @m1tul5  Dropping the meter

... built it because I kept rebuilding the same thing for different projects: extraction, storage, and some way to track what changed over time. Wanted that as the product instead of rebuilding it each time. Pricing is flat, not usage-metered. Free tier included, no card required: https://quorel.vercel.app Would love feedback, especially from anyone who's been burned by a scraper that silently broke, or wished they'd kept last week's data to compare against ...

... actually change user behavior. Comment from Asad M.(@asadmalik901): @busmark_w_nika  The free narrow ones aren't cheap to run, they're just subsidised until they aren't. Narrow is easier to price because you can meter the one thing people came for. Broad products end up on seats or credits, and then you spend your support time explaining your own pricing page. That was the first thing that broke for us on Zeplik, nobody would ... ... product instead. That is why I am wary of deciding breadth by principle alone, minimalist or maximalist. The reasonable-looking simplification was the one the data killed. Something else I have not seen raised here: we also check what competitors

... every rendering change we tried. App size was third. We were shipping every CPU architecture in one binary. Dropping to ARM only brought it to about 38 MB. That reads like a vanity metric until you picture someone on metered mobile data deciding whether your app is worth the download. The pattern across all three: the fix was never in the code that runs. It was in the code that waits, the code that repeats, and the code that ships ...

... feature needs an API. Our product speaks questions out loud and that runs on the browser's built in speech synthesis. Costs zero, no round trip. Worth auditing which pieces the browser already ships for free before you meter them. And gate your AI endpoints. We found ours could be hit by anything with the URL, a scraper could have quietly run the meter

... much work is being done, how many subcalls happen, or how attention/context is being allocated before the result comes back. So I agree: token math is only the floor. For agent products, each external capability needs its own meter, budget, and failure mode. Otherwise you re pricing the visible LLM call while the real margin leak is happening outside it. Comment from Rosetta (Zidian) Guo(@rosetta_zidian_guo): Honestly, It IS very hard to estimate accurately before shipping ...

... live on PH Aug 22, so this thread's been good practice at saying it in one paragraph.) Comment from Demetrio Koro(@aktivist): siOsi upload one selfie and it reads your 12-season color type, undertone, gold vs silver, and which hair colors suit you, then grades the actual makeup in the photo (flash cast, oxidation, coverage), which most tools skip. Free, no signup. Built it because every beauty sub has a queue of "what season am I" posts waiting ... ... Gemini, since more buying decisions now start there instead of traditional search. If you want to see how an AI agent currently reads your own site, we put out a free tool that shows what an AI fetches vs

... build: a desktop voice AI studio for people making real audio, not just testing one prompt in a browser tab. What changed: 100+ studio-quality voices Local generation on your desktop Scripts stay on your machine No per-character meter on paid plans Voice cloning from a consented sample on paid plans Voice Design and Omni in Pro for broader voice creation and 600+ languages Script workflow, retakes, mastering, and export in one app I built this because cloud ... ... pricing punishes iteration. Retakes, pacing fixes, pronunciation edits, and alternate

... guys! I'm Ameya, a recent grad who spent the last few months obsessing over a simple question: what if Wordle, but facts with number guessing? Built Estimate. A daily number-guessing game with a heat meter instead of color tiles. Launching tomorrow at 9:00 AM CST. Would love any feedback from this community before we go live: [ https://estimate-phi-beige.verce... ] (Will be getting a domain soon!) Comment from Ameya Phansalkar(@ameya_phansalkar1): @rianbrob  that's exactly what ... ... Estimate. I just launched it today morning. Take a look! And yes for sure I'll follow your product. Would love to see it! Comment from Rian Robertson(@rianbrob): Sounds like a clever spin on Wordle with that heat meter

... kind of nervous about this post because now you'll all know how bad I am at guessing things. The concept is simple: one real-world question per day, you guess the numeric answer, and a heat meter tells you if you're freezing cold or burning hot. Up to 6 guesses. Example: "How many times does the average person check their phone per day?" I guessed 30. The answer is 96. I own two phones. That gap between what ...

... Token-metered pricing looks lean, but for seed-to-Series B startups without internal AI Ops, it s often a financial trap. The hidden overhead, constant usage monitoring, sneaky prompt bloat, and zero tied delivery milestones, quickly outweighs the flexibility. Instead, fixed-price AI Velocity Pods force strict scope definition upfront. While that constraint feels uncomfortable for agile product teams, it targets exactly where AI projects actually fail: undefined success criteria, not execution. For sub-$100K AI budgets, fixed-price ...

... executes schema migrations, RLS policies, security audits, performance monitoring, anomaly detection, compliance evidence bundling. Over 2,000 tools, all real, all running against your actual database. Pricing is flat-rate. Pick your tier, know what you pay. No compute metering, no storage overages, no bandwidth charges. One bad batch job doesn't double your bill. What's under the hood: SOC 2 and HIPAA wired at every tier, not locked behind enterprise pricing. MCP server on Team and up connect ...

... gotten too big for its britches! Comment from Tyler(@tsouth2): Usage-based is the part that bites: your cap is now premium requests (300/mo on Pro, 1,500 on Pro+) with overage billing, so "unlimited" quietly became a meter. I got tired of every provider changing these terms without telling anyone, so I built LimitWatch to track current limits and how they drift over time, every number linked to its source. Copilot's on there: https://limitwatch.southforgeai.... Comment from xixuan ... ... Cursor next month. Comment from Jiaqi Lu(@jiaqi_lu): @fmerian  Sure thing, gotta try it next month to have some thoughts. coz we already paid for github copilot this month Comment from Jiaqi Lu(@jiaqi_lu): @fmerian VS

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... clips into one, un-nest anytime. Audio - Audio Effects Chain Per-track EQ, Compressor, Noise Gate, Reverb, De-esser, Limiter with Web Audio API processing. - Direct Recording Record audio from your mic directly to the timeline with live level metering. - LUFS Normalization Measure loudness and normalize to platform targets (YouTube, Spotify, Apple Podcasts, broadcast standards). - Beat Detection Detect BPM, visualize beats, snap edits to the beat grid. Workflow - Batch Export Queue up to 8 platform presets (YouTube 1080p/4K, TikTok ...

... frame-accurate even with sharp ramps. Audio Mixer A toggleable mixer panel lives at the bottom of the timeline. Per-track volume, stereo pan, and solo/mute all wired into the Web Audio graph with live AnalyserNode peak and RMS metering. Master levels are measured too. Changes apply in real time during playback. Proxy Editing High-res footage (>1080p) can now generate lower-resolution proxy copies at 480p, 720p, or 1080p. Proxies are stored in OPFS alongside the project ...

... generalises. Any API that charges per-request could return a 402 with a payment quote instead of requiring pre-provisioned API keys. We built this for deployment, but the same flow could work for compute, storage, inference, or any metered service ...

... AURA VISION only unlocks if AUR > 45 AND INT > 40. Every stat has a grade from F SS. DUNGEON CORE AI The dungeon has a living brain with 4 state meters:   Energy      drains as monsters fall   Corruption rises with every boss kill forces harder spawns   Hunger      rises when population drops triggers new spawns   Pressure    tracks how many knights are currently in combat The Dungeon Core reads ...