Supporting browser agents can use seven bounded tools to search the publication, filter the catalog, compare products, inspect project status, and select working stacks.
See what agents can do →Start with real reviews
These are not summary cards. Each review opens into evidence, operating notes, failure analysis, implementation controls, and the questions I would answer before adoption.
Research & context
I use Poppy when the relationship among sources is part of the work. Boards, focused chatbots, reusable context, Android capture, and delivery experiments give me more evidence than a feature tour ever could.
Read the full review →General intelligence
This is the general execution layer I return to for messy planning, writing, software work, troubleshooting, and review. Its value comes from the working loop and the acceptance test—not from accepting the first polished answer.
Read the full review →Application development
This is where SharetoBoard stopped being a concept and had to survive Android lifecycle behavior, share intents, widgets, offline queues, encrypted settings, retries, and signed release builds.
Read the full review →AI coding workflow
This is the primary profile for Claude, Codex, and Gemini when they are used through GitHub Copilot. The model provider is important, but Copilot owns the repository workflow, permissions, branch, review surface, and handoff to a pull request.
Read the full review →Proof & capture
OBS is my proof layer. I want a clean master that shows the state before the action and the observable result after it, because an editor cannot recreate evidence I failed to record.
Read the full review →Automation
I reach for Make when the logic itself needs to stay visible—routers, payload transformations, branches, and exceptions. The visual canvas only helps if I also name the states and own the failure path.
Read the full review →The remaining tools already have first-person field notes and a public review queue.
The proof behind the publication
Top AI Tools For documents the work, evidence, failures, and next gates. Each product keeps its own users, support, privacy, terms, release authority, and commercial operation.
Find page corners, crop and straighten a scan, then save an encrypted PDF in a private on-phone vault. No ads, accounts, tracking, or uploads.
Closed testing still needs a qualifying group of genuine testers, a continuous test interval, and real feedback before the production-access application.Open project record →A source-qualified Android capture layer with Native Capture, explicit Poppy routing, and fail-closed release controls.
Physical-device acceptance, controlled signing, Google Play closed-test upload, and a Store-served reinstall remain open.Open project record →One Manifest V3 candidate containing SharetoBoard Chrome Free and the bounded SharetoBoard Chrome Specialists middle tier.
Packed live acceptance and the Chrome Web Store evidence/review path are not complete.Open project record →A recovered, branded, reproducibly packaged Manifest V3 teleprompter source candidate with Document Picture-in-Picture, pacing, Riff Mode, and optional voice follow.
Live Chrome/Poppy acceptance, role-badged assets, and Store review remain open.Open project record →A local-only stdio MCP exposing six bounded Poppy tools without placing the account-wide credential in the model or client configuration.
Live approved writes, exact client records, signing/provenance, and publication authorization remain open.Open project record →The SharetoBoard cloud MCP and first-party application API, recovered and qualified at source without being deployed.
Authorized staging plus the full cloud and live-Poppy acceptance matrix remain open.Open project record →An installed SharetoBoard skill pack routing explicit local, cloud, or combined Poppy missions without owning credentials.
Local, cloud, and combined live missions plus the public packaging decision remain open.Open project record →Save public Poppy chatbot links in a device-local shelf, generate kiosk-ready QR cards, and send the right bot from the browser already in your hand.
Real public-chatbot link acceptance across desktop and Android is not yet recorded, and cross-device sync remains an explicit product decision.Open project record →Capture and transcribe browser-tab media, then route the resulting work toward selected destinations without pretending an internal alpha is ready for distribution.
Signing identity, packed-browser and clean-machine acceptance, real-media endurance, destination acceptance, and final security gates remain open.Open project record →A local-first browser provenance layer that preserves where useful browsing evidence came from and how it moved through a human-and-agent workflow.
Packaged-extension acceptance and a verified publication path remain open.Open project record →A small Chrome extension for locally removing selected website session data when a user is finished with a site.
Exact packaged-extension acceptance and the Chrome Web Store release path remain open.Open project record →Maturity, ownership, public-safety status, evidence, limitations, blocker, and next gate stay visible.
Browse the whole stack
A general model, wearable sensor, app runtime, coding agent, security scanner, hosting provider, automation platform, backend, editor, and distribution console should not be scored on the same template. Each category hub explains the decision rules before listing tools.
The models and context systems I use to investigate, reason, draft, challenge, and carry approved work into execution.
Visual automations, APIs, and voice-agent surfaces used to move work between systems without losing ownership of failures.
Ambient listeners, smart glasses, biometric devices, owned intelligence layers, and wearable runtimes used to capture, interpret, display, and act on real-world context.
Repository-aware coding assistants and agents used to investigate, plan, edit, test, and return software changes for human review.
Security scanners and agents used to model threats, discover weaknesses, validate exploitability, guide remediation, and track accountable outcomes.
The code, backend, source-control, and deployment tools behind real Android, web, and AI product work.
The domain, DNS, hosting, WordPress, security, backup, migration, and account layers underneath AI-assisted sites and publishing workflows.
Fast interfaces, presentations, documents, and websites for validating an experience before custom engineering is justified.
Visual-production tools used to create brand systems, diagrams, campaigns, and original image directions without letting polish replace judgment.
Capture, editing, generation, and presenter tools used to turn real workflow evidence into watchable media.
Synthetic voice, transcription, and persona tools used for narration, prototypes, accessibility, and production experiments.
The tables, documents, drives, and working databases that keep AI workflows from living only in chat history.
Repurposing, scheduling, analytics, and channel operations used to move one approved body of work across formats.
Commercial-intent guides
Each guide turns a search question into a working architecture: who it is for, the recommended set, the sequence, proof gates, and the conditions that should stop the purchase.
A research-to-publication stack for creators who want one body of evidence to become useful long-form, short-form, visual, and channel-native work.
Use Poppy or a controlled source system to hold evidence, ChatGPT to develop the argument, OBS to record proof, CapCut and Canva to package it, and YouTube Studio to learn from the real audience response.Open the buyer guide →A practical stack for repetitive research, intake, handoffs, content, reporting, and follow-up without turning every process into an AI project.
Start with ChatGPT for bounded judgment, choose Zapier or Make from the workflow shape, keep state in Airtable or Sheets, and add publishing tools only after the business event works end to end.Open the buyer guide →A decision guide for visual AI flows, connector automations, self-hosted orchestration, voice agents, and context delivery.
Use Zapier for legible handoffs, Make for visible branching, Gumloop when AI steps define the flow, n8n when infrastructure control is worth owning, and Vapi only when voice has a bounded operational job.Open the buyer guide →A native Android stack for proving model behavior, shipping durable device workflows, and choosing a backend from the real identity and data contract.
Prototype Gemini behavior in Google AI Studio, build the device contract in Android Studio, choose Firebase or Supabase deliberately, and use GitHub to tie the signed release back to reviewed source.Open the buyer guide →A discovery, context, reasoning, and documentation stack for work where provenance and disagreement matter more than producing text quickly.
Use Perplexity for orientation, Poppy for persistent source relationships, ChatGPT or Gemini for bounded reasoning, Claude for an independent long-form pass, and Notion for the durable decision record.Open the buyer guide →A proof-first recording and editing stack for showing real software behavior without letting a script or jump cut manufacture the result.
Reproduce the outcome first, record one truthful master in OBS, edit speech or pacing with CapCut or Descript, build restrained visual support in Canva, and publish through YouTube Studio.Open the buyer guide →A rights-aware stack for generated images, video, presenters, voices, and creative sequences with the documentary boundary kept visible.
Use Midjourney for image direction, Runway, Veo, or Kling for generated motion tests, HeyGen for declared presenter formats, and ElevenLabs for controlled voice—with disclosure matched to what the audience could misunderstand.Open the buyer guide →A lean authority-site and YouTube stack for one operator turning real experience into reviews, comparisons, guides, and channel-native distribution.
Use ChatGPT for the operating loop, Canva for controlled visuals, OBS and CapCut for proof-led video, Repurpose.io or Metricool for mechanical distribution, and YouTube Studio for native feedback.Open the buyer guide →Head-to-head decisions
Feature tables do not settle a workflow. These briefs state the short decision, show the job boundary, name the failure mode, and explain when the tools belong together.
Use Poppy when the relationships among persistent sources are central. Use ChatGPT when flexibility, breadth, and iterative execution matter more than a visual board.
Read the decision brief →Choose OBS when the source recording has to be dependable. Choose CapCut when the master already exists and needs editorial shaping, captions, or social variants.
Read the decision brief →Choose Zapier for fast, common SaaS handoffs. Choose Make when transformation and branching need to remain visually inspectable.
Read the decision brief →Use ChatGPT as the broad execution loop when you need to move across planning, writing, coding, and revision. Favor Gemini when Google-stack alignment, multimodal experiments, or an independent second pass creates the clearer advantage.
Read the decision brief →Choose Firebase when Google and Android alignment plus managed application services fit the product. Choose Supabase when a visible Postgres core and relational model better match the data and team.
Read the decision brief →Choose Gumloop when AI steps are the center of a visual workflow and speed matters. Evaluate n8n when custom integrations, infrastructure control, or self-hosting are real requirements the team will own.
Read the decision brief →ElevenLabs has the deeper hands-on evidence in my stack through a multi-persona prototype. PlayHT remains a credible alternative to test when voice selection, workflow, or economics justify another platform.
Read the decision brief →Use Pictory when the job is assembling an approved script into a rough narration-led video. Use Runway when the job calls for declared generative or creative video work beyond stock-driven assembly.
Read the decision brief →The reader path
The publication moves from a real work problem into a defensible tool decision, the project evidence behind it, and an appropriate next action.
A category, “best tools for” page, comparison, tutorial, project, or review answers the exact question that brought the reader in.
Experience, ownership, affiliate status, failure modes, poor-fit cases, project maturity, and known limitations remain visible.
Read the adjacent comparison, inspect the build record, use a free resource, visit the product site, or join the guided build path.
Founder build logs
These records show what changed, what failed, what the evidence supports, how the control boundary moved, and what has to happen next.
The catalog grew across AI coding, application security, infrastructure, and wearable computing—but the useful work was keeping every new profile inside one source model with an honest experience label.
Read the build log →Finding a vendor program is not the same as joining it. The catalog needed to show commercial opportunity research without turning eligibility, outreach, or a public application page into a claimed partnership.
Read the build log →A deployed preview is not the same as an approved public release. Indexing remains an explicit decision so unfinished claims, test content, and commercial paths do not quietly become the public record.
Read the build log →Useful transparency without publishing private implementation, customer data, or sensitive configuration.
The only monetized tool—for now
I have the deepest monetized content cluster around Poppy because I have built boards, chatbots, content systems, Android capture, and delivery experiments around it. The affiliate relationship is disclosed; the skip conditions come before the offer.
Owned product evidence
Mobile capture, browser permissions, provenance, local cleanup, bot sharing, transcription, selected destinations, credential isolation, release gates, and visible evidence turn “AI workflow” into products that can fail in the real world.
See all 11 public productsBuild with me
The founding cohort will use the same define, architect, build, test, control, and prove loop documented across these projects. Poppy is optional. Income promises, unrestricted agents, and fake certification are not part of the offer.
See the founding build cohort →